{"id":57,"date":"2017-08-14T09:10:16","date_gmt":"2017-08-14T09:10:16","guid":{"rendered":"http:\/\/crowdflow.phys.tue.nl\/wordpress\/?page_id=57"},"modified":"2017-10-17T05:05:56","modified_gmt":"2017-10-17T05:05:56","slug":"publications","status":"publish","type":"page","link":"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<div class=\"teachpress_pub_list\"><form name=\"tppublistform\" method=\"get\"><a name=\"tppubs\" id=\"tppubs\"><\/a><div class=\"teachpress_cloud\"><span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=6&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publications\" class=\"\">Big data<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=10&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"1 Publication\" class=\"\">crowd 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href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=1&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"4 Publications\" class=\"\">Pedestrian dynamics<\/a><\/span> <span style=\"font-size:11px;\"><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=13&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\" title=\"1 Publication\" class=\"\">review<\/a><\/span> <\/div><div class=\"teachpress_filter\"><select class=\"default\" name=\"yr\" id=\"yr\" tabindex=\"2\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?')\">\n                   <option value=\"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=#tppubs\">All years<\/option>\n                   <option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2023#tppubs\" >2023<\/option><option value = \"tgid=&amp;type=&amp;auth=&amp;usr=&amp;yr=2022#tppubs\" >2022<\/option><option value = 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types<\/option>\n                   <option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=article#tppubs\" >Journal Articles<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=conference#tppubs\" >Conferences<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=inbook#tppubs\" >Book Chapters<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=incollection#tppubs\" >Incollections<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=inproceedings#tppubs\" >Inproceedings<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=mastersthesis#tppubs\" >Masters Theses<\/option><option value = \"tgid=&amp;yr=&amp;auth=&amp;usr=&amp;type=phdthesis#tppubs\" >PhD Theses<\/option>\n                <\/select><select class=\"default\" name=\"auth\" id=\"auth\" tabindex=\"5\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?')\">\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=#tppubs\">All authors<\/option>\n                   <option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=23#tppubs\" >Alessandro Corbetta, Jasper Meeusen, Chung-min Lee, Roberto Benzi, Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=4#tppubs\" >Roberto Benzi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=11#tppubs\" >Luca Bruno<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=45#tppubs\" >Frenk Cleven<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=59#tppubs\" >A. Gabbana; F. Toschi; P. Ross; A. Haans; A. Corbetta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=2#tppubs\" >Alessandro Corbetta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=41#tppubs\" >Cas Pouw; Joris Willems; Frank van Schadewijk; Jasmine Thurau; Federico Toschi; Alessandro Corbetta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=43#tppubs\" >Elia Onofri; Alessandro Corbetta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=40#tppubs\" >Milad Haghani; Nikolai Bode; Maik Boltes; Emiliano Cristiani; Alessandro Corbetta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=27#tppubs\" >Enrico Ronchi, Alessandro Corbetta, Edwin Galea, Max Kinateder, Erika Kuligowski, Denise McGrath, Adam Pel, Youssef Shiban, Peter Thompson, Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=57#tppubs\" >A. Corbetta; T. Senan; L. Woestemeier; B. Hengeveld<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=24#tppubs\" >Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=26#tppubs\" >Rick de Kreij<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=3#tppubs\" >Chung-min Lee<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=15#tppubs\" >Jasper Meeusen<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=8#tppubs\" >Vlado Menkovski<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=5#tppubs\" >Adrian Muntean<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=55#tppubs\" >C. Feliciani; A. Corbetta; M. Haghani; K. Nishinari<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=39#tppubs\" >Pietro Centorrino; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=36#tppubs\" >Pietro Centorrinol; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=53#tppubs\" >P. Centorrino, A. Corbetta, E. Cristiani, E. Onofri<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=44#tppubs\" >Cas Pouw<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=31#tppubs\" >Caspar Pouw<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=32#tppubs\" >Frank van Schadewijk<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=22#tppubs\" >Lars Schilders<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=12#tppubs\" >Diping Song<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=58#tppubs\" >A. Corbetta; F. Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=20#tppubs\" >Alessandro Corbetta; Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=37#tppubs\" >Alessandro Corbetta; Lars Schilders; Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=17#tppubs\" >Alessandro Corbetta; Werner Kroneman; Maurice Donners; Antal Haans; Philip Ross; Marius Trouwborst; Sander vd Wijdeven; Martijn Hultermans; Dragan Sekulowski; Fedsja vd Heijden; Sjoerd Mentink; Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=19#tppubs\" >Emiliano Cristiani; Alessandro Corbetta; Caterina Balzotti; Roberto Natalini; Sara Suriano; Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=6#tppubs\" >Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=56#tppubs\" >R. Kodapanakkal; C. Pouw; G. Bombaerts; A. Corbetta; A. Dameski; A. Haans; J. Ham; A. Spahn; F. Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=18#tppubs\" >Werner Kroneman; Alessandro Corbetta; Federico Toschi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=9#tppubs\" >Kiamars Vafayi<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=54#tppubs\" >G. vd Vleuten; F. Toschi; W. Schilders; A. Corbetta<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=21#tppubs\" >Joris Willems<\/option><option value = \"tgid=&amp;yr=&amp;type=&amp;usr=&amp;auth=13#tppubs\" >Qiao Yu<\/option>\n                <\/select><select class=\"default\" name=\"usr\" id=\"usr\" tabindex=\"6\" onchange=\"teachpress_jumpMenu('parent',this, 'https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?')\">\n                   <option value=\"tgid=&amp;yr=&amp;type=&amp;auth=&amp;usr=#tppubs\">All users<\/option>\n                   \n                <\/select><\/div><\/form><div class=\"teachpress_publication_list\"><h3 class=\"tp_h3\" id=\"tp_h3_2023\">2023<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">C. Feliciani; A. Corbetta; M. Haghani; K. Nishinari<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('40','tp_links')\" style=\"cursor:pointer;\">Trends in crowd accidents based on an analysis of press reports<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Safety Science, <\/span><span class=\"tp_pub_additional_volume\">vol. 164, <\/span><span class=\"tp_pub_additional_year\">2023<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_40\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('40','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_40\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('40','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_40\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nokey,<br \/>\r\ntitle = {Trends in crowd accidents based on an analysis of press reports},<br \/>\r\nauthor = {C. Feliciani; A. Corbetta; M. Haghani; K. Nishinari},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.ssci.2023.106174},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-08-01},<br \/>\r\nurldate = {2023-08-01},<br \/>\r\njournal = {Safety Science},<br \/>\r\nvolume = {164},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('40','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_40\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.ssci.2023.106174\" title=\"Follow DOI:https:\/\/doi.org\/10.1016\/j.ssci.2023.106174\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.ssci.2023.106174<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('40','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">G. vd Vleuten; F. Toschi; W. Schilders; A. Corbetta<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('36','tp_links')\" style=\"cursor:pointer;\">Stochastic fluctuations of diluted pedestrian dynamics along curved paths<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_label_status forthcoming\">Forthcoming<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Submitted, <\/span>Forthcoming.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_36\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('36','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_36\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('36','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_36\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nokey,<br \/>\r\ntitle = {Stochastic fluctuations of diluted pedestrian dynamics along curved paths},<br \/>\r\nauthor = {G. vd Vleuten; F. Toschi; W. Schilders; A. Corbetta},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/2306.12090},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-06-21},<br \/>\r\nurldate = {2023-06-21},<br \/>\r\njournal = {Submitted},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {forthcoming},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('36','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_36\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/2306.12090\" title=\"https:\/\/arxiv.org\/abs\/2306.12090\" target=\"_blank\">https:\/\/arxiv.org\/abs\/2306.12090<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('36','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">R. Kodapanakkal; C. Pouw; G. Bombaerts; A. Corbetta; A. Dameski; A. Haans; J. Ham; A. Spahn; F. Toschi<\/p><p class=\"tp_pub_title\">A psychological approach to understading microscopic and macroscopic structures during train boarding <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_label_status forthcoming\">Forthcoming<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Submitted, <\/span>Forthcoming.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_37\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('37','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_37\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nokey,<br \/>\r\ntitle = {A psychological approach to understading microscopic and macroscopic structures during train boarding},<br \/>\r\nauthor = {R. Kodapanakkal; C. Pouw; G. Bombaerts; A. Corbetta; A. Dameski; A. Haans; J. Ham; A. Spahn; F. Toschi},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-06-01},<br \/>\r\nurldate = {2023-06-01},<br \/>\r\njournal = {Submitted},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {forthcoming},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('37','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">A. Corbetta; T. Senan; L. Woestemeier; B. Hengeveld<\/p><p class=\"tp_pub_title\">Public-space sonification for pedestrian trajectory nudging <span class=\"tp_pub_type article\">Journal Article<\/span> <span class=\"tp_pub_label_status forthcoming\">Forthcoming<\/span><\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Submitted, <\/span>Forthcoming.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_38\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('38','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_38\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nokey,<br \/>\r\ntitle = {Public-space sonification for pedestrian trajectory nudging},<br \/>\r\nauthor = {A. Corbetta; T. Senan; L. Woestemeier; B. Hengeveld},<br \/>\r\nyear  = {2023},<br \/>\r\ndate = {2023-06-01},<br \/>\r\nurldate = {2023-06-01},<br \/>\r\njournal = {Submitted},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {forthcoming},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('38','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2022\">2022<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">A. Corbetta; F. Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('35','tp_links')\" style=\"cursor:pointer;\">Physics of Human Crowds<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Annual Review of Condesed Matter Physics, <\/span><span class=\"tp_pub_additional_volume\">vol. 14, <\/span><span class=\"tp_pub_additional_pages\">pp. 311-333, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_35\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('35','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_35\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('35','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_35\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nokey,<br \/>\r\ntitle = {Physics of Human Crowds},<br \/>\r\nauthor = {A. Corbetta; F. Toschi},<br \/>\r\nurl = {https:\/\/doi.org\/10.1146\/annurev-conmatphys-031620-100450},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-11-30},<br \/>\r\nurldate = {2022-11-30},<br \/>\r\njournal = {Annual Review of Condesed Matter Physics},<br \/>\r\nvolume = {14},<br \/>\r\npages = {311-333},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('35','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_35\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/doi.org\/10.1146\/annurev-conmatphys-031620-100450\" title=\"https:\/\/doi.org\/10.1146\/annurev-conmatphys-031620-100450\" target=\"_blank\">https:\/\/doi.org\/10.1146\/annurev-conmatphys-031620-100450<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('35','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">A. Gabbana; F. Toschi; P. Ross; A. Haans; A. Corbetta<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('39','tp_links')\" style=\"cursor:pointer;\">Fluctuations in pedestrian dynamics routing choices<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">PNAS Nexus, <\/span><span class=\"tp_pub_additional_volume\">vol. 1, <\/span><span class=\"tp_pub_additional_issue\">iss. 4, <\/span><span class=\"tp_pub_additional_pages\">pp. 169, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_39\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('39','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_39\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('39','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_39\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nokey,<br \/>\r\ntitle = {Fluctuations in pedestrian dynamics routing choices},<br \/>\r\nauthor = {A. Gabbana; F. Toschi; P. Ross; A. Haans; A. Corbetta},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1093\/pnasnexus\/pgac169},<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-09-01},<br \/>\r\nurldate = {2022-09-01},<br \/>\r\njournal = {PNAS Nexus},<br \/>\r\nvolume = {1},<br \/>\r\nissue = {4},<br \/>\r\npages = {169},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('39','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_39\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1093\/pnasnexus\/pgac169\" title=\"Follow DOI:https:\/\/doi.org\/10.1093\/pnasnexus\/pgac169\" target=\"_blank\">doi:https:\/\/doi.org\/10.1093\/pnasnexus\/pgac169<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('39','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Cas Pouw; Joris Willems; Frank van Schadewijk; Jasmine Thurau; Federico Toschi; Alessandro Corbetta<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('30','tp_links')\" style=\"cursor:pointer;\">Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Collective Dynamics, <\/span><span class=\"tp_pub_additional_volume\">vol. 6, <\/span><span class=\"tp_pub_additional_year\">2022<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_30\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('30','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_30\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('30','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_30\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{pouw:benchmark,<br \/>\r\ntitle = {Benchmarking high-fidelity pedestrian tracking systems for research, real-time monitoring and crowd control},<br \/>\r\nauthor = {Cas Pouw; Joris Willems; Frank van Schadewijk; Jasmine Thurau; Federico Toschi; Alessandro Corbetta},<br \/>\r\ndoi = {https:\/\/doi.org\/10.17815\/CD.2021.134 },<br \/>\r\nyear  = {2022},<br \/>\r\ndate = {2022-01-26},<br \/>\r\nurldate = {2022-01-26},<br \/>\r\njournal = {Collective Dynamics},<br \/>\r\nvolume = {6},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('30','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_30\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.17815\/CD.2021.134 \" title=\"Follow DOI:https:\/\/doi.org\/10.17815\/CD.2021.134 \" target=\"_blank\">doi:https:\/\/doi.org\/10.17815\/CD.2021.134 <\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('30','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2021\">2021<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Elia Onofri; Alessandro Corbetta<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('32','tp_links')\" style=\"cursor:pointer;\">RSSi-based visitor tracking in museums via cascaded AI classifiers and coloured graph representations<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Collective Dynamics, <\/span><span class=\"tp_pub_additional_volume\">vol. 6, <\/span><span class=\"tp_pub_additional_number\">no. 1-17, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_32\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('32','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_32\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('32','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=12#tppubs\" title=\"Show all publications which have a relationship to this tag\">museum dynamics<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_32\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{onofri:rssi,<br \/>\r\ntitle = {RSSi-based visitor tracking in museums via cascaded AI classifiers and coloured graph representations},<br \/>\r\nauthor = {Elia Onofri; Alessandro Corbetta},<br \/>\r\ndoi = {https:\/\/doi.org\/10.17815\/CD.2021.131 },<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-08-01},<br \/>\r\nurldate = {2021-08-01},<br \/>\r\njournal = {Collective Dynamics},<br \/>\r\nvolume = {6},<br \/>\r\nnumber = {1-17},<br \/>\r\nkeywords = {museum dynamics},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('32','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_32\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.17815\/CD.2021.131 \" title=\"Follow DOI:https:\/\/doi.org\/10.17815\/CD.2021.131 \" target=\"_blank\">doi:https:\/\/doi.org\/10.17815\/CD.2021.131 <\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('32','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Frenk Cleven<\/p><p class=\"tp_pub_title\">Data-driven estimation of equilibrium distribution functions for pedestrian dynamics <span class=\"tp_pub_type mastersthesis\">Masters Thesis<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_34\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('34','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_34\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{cleven:msc,<br \/>\r\ntitle = {Data-driven estimation of equilibrium distribution functions for pedestrian dynamics},<br \/>\r\nauthor = {Frenk Cleven},<br \/>\r\neditor = {Eindhoven University of Technology},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-07-01},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('34','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">P. Centorrino, A. Corbetta, E. Cristiani, E. Onofri<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('41','tp_links')\" style=\"cursor:pointer;\">Managing Crowded Museums: Visitors Flow Measurement, Analysis, Modeling, and Optimization<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Journal of Computational Science, <\/span><span class=\"tp_pub_additional_volume\">vol. 53, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_41\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('41','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_41\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('41','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_41\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{nokey,<br \/>\r\ntitle = {Managing Crowded Museums: Visitors Flow Measurement, Analysis, Modeling, and Optimization},<br \/>\r\nauthor = {P. Centorrino, A. Corbetta, E. Cristiani, E. Onofri},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.jocs.2021.101357},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-07-01},<br \/>\r\njournal = {Journal of Computational Science},<br \/>\r\nvolume = {53},<br \/>\r\nkeywords = {},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('41','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_41\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.jocs.2021.101357\" title=\"Follow DOI:https:\/\/doi.org\/10.1016\/j.jocs.2021.101357\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.jocs.2021.101357<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('41','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Pietro Centorrino; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('28','tp_links')\" style=\"cursor:pointer;\">Managing Crowded Museums: Visitors Flow Measurement, Analysis, Modeling, and Optimization<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">J. Comput. Sci., <\/span><span class=\"tp_pub_additional_pages\">pp. 101357, <\/span><span class=\"tp_pub_additional_year\">2021<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_28\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('28','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_28\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('28','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=12#tppubs\" title=\"Show all publications which have a relationship to this tag\">museum dynamics<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_28\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{museum:jcompsci,<br \/>\r\ntitle = {Managing Crowded Museums: Visitors Flow Measurement, Analysis, Modeling, and Optimization},<br \/>\r\nauthor = {Pietro Centorrino; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1016\/j.jocs.2021.101357},<br \/>\r\nyear  = {2021},<br \/>\r\ndate = {2021-04-01},<br \/>\r\njournal = {J. Comput. Sci.},<br \/>\r\npages = {101357},<br \/>\r\nkeywords = {museum dynamics},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('28','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_28\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1016\/j.jocs.2021.101357\" title=\"Follow DOI:https:\/\/doi.org\/10.1016\/j.jocs.2021.101357\" target=\"_blank\">doi:https:\/\/doi.org\/10.1016\/j.jocs.2021.101357<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('28','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2020\">2020<\/h3><div class=\"tp_publication tp_publication_inbook\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Lars Schilders; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('27','tp_links')\" style=\"cursor:pointer;\">High-statistics modeling of complex pedestrian avoidance scenarios<\/a> <span class=\"tp_pub_type inbook\">Book Chapter<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span>Livio Gibelli (Ed.): <span class=\"tp_pub_additional_volume\">vol. Crowd Dynamics (vol. 2), <\/span><span class=\"tp_pub_additional_chapter\"> Chapter 3, <\/span><span class=\"tp_pub_additional_publisher\">Birkh\u00e4user, Cham, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_27\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('27','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_27\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('27','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_27\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inbook{book:schilders,<br \/>\r\ntitle = {High-statistics modeling of complex pedestrian avoidance scenarios},<br \/>\r\nauthor = {Alessandro Corbetta; Lars Schilders; Federico Toschi},<br \/>\r\neditor = {Livio Gibelli},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1007\/978-3-030-50450-2_3},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-12-01},<br \/>\r\nvolume = {Crowd Dynamics (vol. 2)},<br \/>\r\npublisher = {Birkh\u00e4user, Cham},<br \/>\r\nchapter = {3},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inbook}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('27','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_27\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1007\/978-3-030-50450-2_3\" title=\"Follow DOI:https:\/\/doi.org\/10.1007\/978-3-030-50450-2_3\" target=\"_blank\">doi:https:\/\/doi.org\/10.1007\/978-3-030-50450-2_3<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('27','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Cas Pouw<\/p><p class=\"tp_pub_title\">Efficient and scalable analytics frameworks for high-statistics crowd dynamics <span class=\"tp_pub_type mastersthesis\">Masters Thesis<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_33\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('33','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_33\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{msc:cas,<br \/>\r\ntitle = {Efficient and scalable analytics frameworks for high-statistics crowd dynamics},<br \/>\r\nauthor = {Cas Pouw},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-10-31},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('33','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Caspar Pouw; Federico Toschi; Frank van Schadewijk; Alessandro Corbetta<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('25','tp_links')\" style=\"cursor:pointer;\">Monitoring physical distancing for crowd management: Real-time trajectory and group analysis<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">PLOS ONE, <\/span><span class=\"tp_pub_additional_volume\">vol. 15, <\/span><span class=\"tp_pub_additional_number\">no. 10, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_25\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('25','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_25\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('25','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_25\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Pouw2020,<br \/>\r\ntitle = {Monitoring physical distancing for crowd management: Real-time trajectory and group analysis},<br \/>\r\nauthor = {Caspar Pouw and Federico Toschi and Frank van Schadewijk and Alessandro Corbetta},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1371\/journal.pone.0240963},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-10-29},<br \/>\r\njournal = {PLOS ONE},<br \/>\r\nvolume = {15},<br \/>\r\nnumber = {10},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('25','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_25\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1371\/journal.pone.0240963\" title=\"Follow DOI:https:\/\/doi.org\/10.1371\/journal.pone.0240963\" target=\"_blank\">doi:https:\/\/doi.org\/10.1371\/journal.pone.0240963<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('25','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Joris Willems; Alessandro Corbetta; Vlado Menkovski; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('23','tp_links')\" style=\"cursor:pointer;\">Pedestrian orientation dynamics from high-fidelity measurements<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Scientific Reports, <\/span><span class=\"tp_pub_additional_volume\">vol. 10, <\/span><span class=\"tp_pub_additional_number\">no. 11653, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_23\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('23','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_23\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('23','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_23\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Willems2020,<br \/>\r\ntitle = {Pedestrian orientation dynamics from high-fidelity measurements},<br \/>\r\nauthor = {Joris Willems and Alessandro Corbetta and Vlado Menkovski and Federico Toschi},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1038\/s41598-020-68287-6},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-07-15},<br \/>\r\njournal = {Scientific Reports},<br \/>\r\nvolume = {10},<br \/>\r\nnumber = {11653},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('23','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_23\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1038\/s41598-020-68287-6\" title=\"Follow DOI:https:\/\/doi.org\/10.1038\/s41598-020-68287-6\" target=\"_blank\">doi:https:\/\/doi.org\/10.1038\/s41598-020-68287-6<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('23','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Werner Kroneman; Maurice Donners; Antal Haans; Philip Ross; Marius Trouwborst; Sander vd Wijdeven; Martijn Hultermans; Dragan Sekulowski; Fedsja vd Heijden; Sjoerd Mentink; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('12','tp_links')\" style=\"cursor:pointer;\">A large-scale real-life crowd steering experiment via arrow-like stimuli<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Collective Dynamics, <\/span><span class=\"tp_pub_additional_number\">no. 5, <\/span><span class=\"tp_pub_additional_pages\">pp. 61-68, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_12\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('12','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_12\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('12','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_12\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{conf:glow,<br \/>\r\ntitle = {A large-scale real-life crowd steering experiment via arrow-like stimuli},<br \/>\r\nauthor = {Alessandro Corbetta; Werner Kroneman; Maurice Donners; Antal Haans; Philip Ross; Marius Trouwborst; Sander vd Wijdeven; Martijn Hultermans; Dragan Sekulowski; Fedsja vd Heijden; Sjoerd Mentink; Federico Toschi},<br \/>\r\ndoi = {http:\/\/dx.doi.org\/10.17815\/CD.2020.34},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nbooktitle = {Pedestrian and Evacuation Dynamics 2018 (to appear)},<br \/>\r\njournal = {Collective Dynamics},<br \/>\r\nnumber = {5},<br \/>\r\npages = {61-68},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('12','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_12\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/http:\/\/dx.doi.org\/10.17815\/CD.2020.34\" title=\"Follow DOI:http:\/\/dx.doi.org\/10.17815\/CD.2020.34\" target=\"_blank\">doi:http:\/\/dx.doi.org\/10.17815\/CD.2020.34<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('12','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Werner Kroneman; Alessandro Corbetta; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('13','tp_links')\" style=\"cursor:pointer;\">Accurate pedestrian localization via height-augmented HOG<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Collective Dynamics, <\/span><span class=\"tp_pub_additional_number\">no. 5, <\/span><span class=\"tp_pub_additional_pages\">pp. 33-40, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_13\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('13','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_13\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('13','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=4#tppubs\" title=\"Show all publications which have a relationship to this tag\">Deep Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_13\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{hog,<br \/>\r\ntitle = {Accurate pedestrian localization via height-augmented HOG},<br \/>\r\nauthor = {Werner Kroneman; Alessandro Corbetta; Federico Toschi},<br \/>\r\ndoi = {http:\/\/dx.doi.org\/10.17815\/CD.2020.30},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nbooktitle = {Pedestrian and Evacuation Dynamics 2018 (to appear)},<br \/>\r\njournal = {Collective Dynamics},<br \/>\r\nnumber = {5},<br \/>\r\npages = {33-40},<br \/>\r\nkeywords = {Deep Learning, High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('13','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_13\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/http:\/\/dx.doi.org\/10.17815\/CD.2020.30\" title=\"Follow DOI:http:\/\/dx.doi.org\/10.17815\/CD.2020.30\" target=\"_blank\">doi:http:\/\/dx.doi.org\/10.17815\/CD.2020.30<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('13','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Emiliano Cristiani; Alessandro Corbetta; Caterina Balzotti; Roberto Natalini; Sara Suriano; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('14','tp_links')\" style=\"cursor:pointer;\">Forecasting visitors' behaviour in crowded museums<\/a> <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Collective Dynamics - Pedestrian and Evacuation Dynamics 2018, <\/span><span class=\"tp_pub_additional_pages\">pp. 499-501, <\/span><span class=\"tp_pub_additional_year\">2020<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_14\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('14','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_14\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('14','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=6#tppubs\" title=\"Show all publications which have a relationship to this tag\">Big data<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_14\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{conf:GB,<br \/>\r\ntitle = {Forecasting visitors' behaviour in crowded museums},<br \/>\r\nauthor = {Emiliano Cristiani; Alessandro Corbetta; Caterina Balzotti; Roberto Natalini; Sara Suriano; Federico Toschi},<br \/>\r\ndoi = {http:\/\/dx.doi.org\/10.17815\/CD.2020.82},<br \/>\r\nyear  = {2020},<br \/>\r\ndate = {2020-01-01},<br \/>\r\nbooktitle = {Collective Dynamics - Pedestrian and Evacuation Dynamics 2018},<br \/>\r\njournal = {Collective Dynamics},<br \/>\r\nnumber = {5},<br \/>\r\npages = {499-501},<br \/>\r\nkeywords = {Big data},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('14','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_14\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/http:\/\/dx.doi.org\/10.17815\/CD.2020.82\" title=\"Follow DOI:http:\/\/dx.doi.org\/10.17815\/CD.2020.82\" target=\"_blank\">doi:http:\/\/dx.doi.org\/10.17815\/CD.2020.82<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('14','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2019\">2019<\/h3><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Pietro Centorrinol; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('26','tp_links')\" style=\"cursor:pointer;\">Measurement and analysis of visitors\u2019 trajectories in crowded museums<\/a> <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">2019 IMEKO TC-4 International Conference on Metrology for Archaeology and Cultural Heritage, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_26\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('26','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_26\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('26','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_26\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{imeko,<br \/>\r\ntitle = {Measurement and analysis of visitors\u2019 trajectories in crowded museums},<br \/>\r\nauthor = {Pietro Centorrinol; Alessandro Corbetta; Emiliano Cristiani; Elia Onofri},<br \/>\r\nurl = {https:\/\/www.imeko.org\/publications\/tc4-Archaeo-2019\/IMEKO-TC4-METROARCHAEO-2019-83.pdf},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-12-01},<br \/>\r\nbooktitle = {2019 IMEKO TC-4 International Conference on Metrology for Archaeology and Cultural Heritage},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('26','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_26\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.imeko.org\/publications\/tc4-Archaeo-2019\/IMEKO-TC4-METROARCHAEO-2019-83.pdf\" title=\"https:\/\/www.imeko.org\/publications\/tc4-Archaeo-2019\/IMEKO-TC4-METROARCHAEO-2019-[...]\" target=\"_blank\">https:\/\/www.imeko.org\/publications\/tc4-Archaeo-2019\/IMEKO-TC4-METROARCHAEO-2019-[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('26','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Milad Haghani; Nikolai Bode; Maik Boltes; Emiliano Cristiani; Alessandro Corbetta<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('29','tp_links')\" style=\"cursor:pointer;\">Panic, irrationality, herding: Three ambiguous terms in evacuation dynamics research<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">J. Adv. Transport., <\/span><span class=\"tp_pub_additional_pages\">pp. 9267643, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_29\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('29','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_29\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('29','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=13#tppubs\" title=\"Show all publications which have a relationship to this tag\">review<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_29\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{haghani1,<br \/>\r\ntitle = {Panic, irrationality, herding: Three ambiguous terms in evacuation dynamics research},<br \/>\r\nauthor = {Milad Haghani; Nikolai Bode; Maik Boltes; Emiliano Cristiani; Alessandro Corbetta},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1155\/2019\/9267643},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-12-01},<br \/>\r\njournal = {J. Adv. Transport.},<br \/>\r\npages = {9267643},<br \/>\r\nkeywords = {review},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('29','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_29\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1155\/2019\/9267643\" title=\"Follow DOI:https:\/\/doi.org\/10.1155\/2019\/9267643\" target=\"_blank\">doi:https:\/\/doi.org\/10.1155\/2019\/9267643<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('29','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Enrico Ronchi, Alessandro Corbetta, Edwin Galea, Max Kinateder, Erika Kuligowski, Denise McGrath, Adam Pel, Youssef Shiban, Peter Thompson, Federico Toschi<\/p><p class=\"tp_pub_title\">New approaches to evacuation modelling for fire safety engineering applications <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Fire Safety Journal, <\/span><span class=\"tp_pub_additional_number\">no. 106, <\/span><span class=\"tp_pub_additional_pages\">pp. 197-209, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_22\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('22','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_22\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{fireEnrico,<br \/>\r\ntitle = {New approaches to evacuation modelling for fire safety engineering applications},<br \/>\r\nauthor = {Enrico Ronchi, Alessandro Corbetta, Edwin Galea, Max Kinateder, Erika Kuligowski, Denise McGrath, Adam Pel, Youssef Shiban, Peter Thompson, Federico Toschi},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-05-10},<br \/>\r\njournal = {Fire Safety Journal},<br \/>\r\nnumber = {106},<br \/>\r\npages = {197-209},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('22','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('20','tp_links')\" style=\"cursor:pointer;\">StampNet: unsupervised multi-class object discovery<\/a> <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">ICIP 2019 - IEEE International Conference on Image Processing, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_20\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('20','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_20\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('20','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=5#tppubs\" title=\"Show all publications which have a relationship to this tag\">Crowd vision<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_20\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{stampnet,<br \/>\r\ntitle = {StampNet: unsupervised multi-class object discovery},<br \/>\r\nauthor = {Joost Visser, Alessandro Corbetta, Vlado Menkovski, Federico Toschi},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/1902.02693},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-05-01},<br \/>\r\nbooktitle = {ICIP 2019 - IEEE International Conference on Image Processing},<br \/>\r\nkeywords = {Crowd vision},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('20','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_20\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/1902.02693\" title=\"https:\/\/arxiv.org\/abs\/1902.02693\" target=\"_blank\">https:\/\/arxiv.org\/abs\/1902.02693<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('20','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Juliane Adrian, Nikolai Bode, Martyn Amos, Mitra Baratchi, Mira Beermann, Maik Boltes, Alessandro Corbetta, Guillaume Dezecache, John Drury , Zhijian Fu, Roland Geraerts, Steve Gwynne, Gesine Hofinger, Aoife Hunt, Tinus Kanters, Angelika Kneidl, Krisztina Konya, Gerta K\u00f6ster, Mira K\u00fcpper, Georgios Michalareas, Fergus Neville, Evangelos Ntontis, Stephen Reicher, Enrico Ronchi, Andreas Schadschneider, Armin Seyfried, Alastair Shipman, Anna Sieben, Michael Spearpoint, Gavin Brent Sullivan, Anne Templeton, Federico Toschi, Zeynep Y\u00fccel, Francesco Zanlungo, Iker Zuriguel, Natalie van der Wal , Frank van Schadewijk, Cornelia von Kr\u00fcchten, Nanda Wijermans<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('19','tp_links')\" style=\"cursor:pointer;\">A Glossary for Research on Human Crowd Dynamics<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Collective Dynamics, <\/span><span class=\"tp_pub_additional_volume\">vol. 4, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-13, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_19\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('19','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_19\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('19','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=10#tppubs\" title=\"Show all publications which have a relationship to this tag\">crowd dynamics<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_19\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{glossary,<br \/>\r\ntitle = {A Glossary for Research on Human Crowd Dynamics},<br \/>\r\nauthor = {Juliane Adrian, Nikolai Bode, Martyn Amos, Mitra Baratchi, Mira Beermann, Maik Boltes, Alessandro Corbetta, Guillaume Dezecache, John Drury , Zhijian Fu, Roland Geraerts, Steve Gwynne, Gesine Hofinger, Aoife Hunt, Tinus Kanters, Angelika Kneidl, Krisztina Konya, Gerta K\u00f6ster, Mira K\u00fcpper, Georgios Michalareas, Fergus Neville, Evangelos Ntontis, Stephen Reicher, Enrico Ronchi, Andreas Schadschneider, Armin Seyfried, Alastair Shipman, Anna Sieben, Michael Spearpoint, Gavin Brent Sullivan, Anne Templeton, Federico Toschi, Zeynep Y\u00fccel, Francesco Zanlungo, Iker Zuriguel, Natalie van der Wal , Frank van Schadewijk, Cornelia von Kr\u00fcchten, Nanda Wijermans},<br \/>\r\ndoi = {http:\/\/dx.doi.org\/10.17815\/CD.2019.19\t},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-03-01},<br \/>\r\njournal = {Collective Dynamics},<br \/>\r\nvolume = {4},<br \/>\r\npages = {1-13},<br \/>\r\nkeywords = {crowd dynamics},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('19','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_19\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/http:\/\/dx.doi.org\/10.17815\/CD.2019.19\t\" title=\"Follow DOI:http:\/\/dx.doi.org\/10.17815\/CD.2019.19\t\" target=\"_blank\">doi:http:\/\/dx.doi.org\/10.17815\/CD.2019.19\t<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('19','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Rick de Kreij<\/p><p class=\"tp_pub_title\">A multi-scale model for real-life pedestrian arrival processes <span class=\"tp_pub_type mastersthesis\">Masters Thesis<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">Eindhoven University of Technology, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_21\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('21','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_21\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{rickThesis,<br \/>\r\ntitle = {A multi-scale model for real-life pedestrian arrival processes},<br \/>\r\nauthor = {Rick de Kreij},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-31},<br \/>\r\njournal = {Fire Safety Journal},<br \/>\r\nschool = {Eindhoven University of Technology},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('21','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inbook\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('15','tp_links')\" style=\"cursor:pointer;\">Path-integral representation of diluted pedestrian dynamics<\/a> <span class=\"tp_pub_type inbook\">Book Chapter<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span>Mark Peletier; Rutger Van Santen; Erik Steur. (Ed.): <span class=\"tp_pub_additional_volume\">vol. Complexity Science. An introduction, <\/span><span class=\"tp_pub_additional_pages\">pp. 329-345, <\/span><span class=\"tp_pub_additional_publisher\">World Scientific, <\/span><span class=\"tp_pub_additional_year\">2019<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_15\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('15','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_15\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('15','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_15\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inbook{book:pathintegral,<br \/>\r\ntitle = {Path-integral representation of diluted pedestrian dynamics},<br \/>\r\nauthor = {Alessandro Corbetta; Federico Toschi},<br \/>\r\neditor = {Mark Peletier; Rutger Van Santen; Erik Steur.},<br \/>\r\nurl = {https:\/\/www.researchgate.net\/publication\/324435844_Path-integral_representation_of_diluted_pedestrian_dynamics?_sg=X86LC-AKiY52hvjspB5pBH3Q9XXQOLgMfuu9RZ8rdQSkjXNmtbL_ZQgwCN5N1v1mymn-vLwA9_4VJfWvpNgrbD2F_jqcHMkq1JDe86ai.3wrHZXR_Mc0vVTvUBz3PwS0jnuHYw5fauy2pvN1GYiPgXxkyFX6CVmnRpsmCi2ZGwUtRfkFc7nfD2KQcDHPLxw},<br \/>\r\nyear  = {2019},<br \/>\r\ndate = {2019-01-01},<br \/>\r\nvolume = {Complexity Science. An introduction},<br \/>\r\npages = {329-345},<br \/>\r\npublisher = {World Scientific},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inbook}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('15','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_15\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.researchgate.net\/publication\/324435844_Path-integral_representation_of_diluted_pedestrian_dynamics?_sg=X86LC-AKiY52hvjspB5pBH3Q9XXQOLgMfuu9RZ8rdQSkjXNmtbL_ZQgwCN5N1v1mymn-vLwA9_4VJfWvpNgrbD2F_jqcHMkq1JDe86ai.3wrHZXR_Mc0vVTvUBz3PwS0jnuHYw5fauy2pvN1GYiPgXxkyFX6CVmnRpsmCi2ZGwUtRfkFc7nfD2KQcDHPLxw\" title=\"https:\/\/www.researchgate.net\/publication\/324435844_Path-integral_representation_[...]\" target=\"_blank\">https:\/\/www.researchgate.net\/publication\/324435844_Path-integral_representation_[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('15','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2018\">2018<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta, Jasper Meeusen, Chung-min Lee, Roberto Benzi, Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('18','tp_links')\" style=\"cursor:pointer;\">Physics-based modeling and data representation of pairwise interactions among pedestrians<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Physical Review E, <\/span><span class=\"tp_pub_additional_volume\">vol. 98, <\/span><span class=\"tp_pub_additional_pages\">pp. 062310, <\/span><span class=\"tp_pub_additional_year\">2018<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_18\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('18','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_18\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('18','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=4#tppubs\" title=\"Show all publications which have a relationship to this tag\">Deep Learning<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=8#tppubs\" title=\"Show all publications which have a relationship to this tag\">Eindhoven Station<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_18\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{pre-interactions,<br \/>\r\ntitle = {Physics-based modeling and data representation of pairwise interactions among pedestrians},<br \/>\r\nauthor = {Alessandro Corbetta, Jasper Meeusen, Chung-min Lee, Roberto Benzi, Federico Toschi},<br \/>\r\nurl = {https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.98.062310},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1103\/PhysRevE.98.062310},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-12-14},<br \/>\r\njournal = {Physical Review E},<br \/>\r\nvolume = {98},<br \/>\r\npages = {062310},<br \/>\r\nkeywords = {Deep Learning, Eindhoven Station, High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('18','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_18\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.98.062310\" title=\"https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.98.062310\" target=\"_blank\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.98.062310<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1103\/PhysRevE.98.062310\" title=\"Follow DOI:https:\/\/doi.org\/10.1103\/PhysRevE.98.062310\" target=\"_blank\">doi:https:\/\/doi.org\/10.1103\/PhysRevE.98.062310<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('18','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Joris Willems<\/p><p class=\"tp_pub_title\">Pedestrian Orientation: Accurate Measurements and Dynamics <span class=\"tp_pub_type mastersthesis\">Masters Thesis<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">Eindhoven University of Technology, <\/span><span class=\"tp_pub_additional_year\">2018<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_16\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('16','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=5#tppubs\" title=\"Show all publications which have a relationship to this tag\">Crowd vision<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_16\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{willems_th,<br \/>\r\ntitle = {Pedestrian Orientation: Accurate Measurements and Dynamics},<br \/>\r\nauthor = {Joris Willems},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-08-01},<br \/>\r\nschool = {Eindhoven University of Technology},<br \/>\r\nkeywords = {Crowd vision},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('16','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Lars Schilders<\/p><p class=\"tp_pub_title\">Superposition of interactions in pedestrian dynamics <span class=\"tp_pub_type mastersthesis\">Masters Thesis<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">Eindhoven University of Technology, <\/span><span class=\"tp_pub_additional_year\">2018<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_17\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('17','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_17\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{schilders_th,<br \/>\r\ntitle = {Superposition of interactions in pedestrian dynamics},<br \/>\r\nauthor = {Lars Schilders},<br \/>\r\nyear  = {2018},<br \/>\r\ndate = {2018-08-01},<br \/>\r\nschool = {Eindhoven University of Technology},<br \/>\r\nkeywords = {High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('17','tp_bibtex')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2017\">2017<\/h3><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Diping Song; Qiao Yu; Alessandro Corbetta<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('7','tp_links')\" style=\"cursor:pointer;\">Depth Driven People Counting Using Deep Region Proposal Network<\/a> <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">IEEE International Conference on Information and Automation (ICIA 2017), <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_resource_link\"><a id=\"tp_links_sh_7\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('7','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_7\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('7','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=5#tppubs\" title=\"Show all publications which have a relationship to this tag\">Crowd vision<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=4#tppubs\" title=\"Show all publications which have a relationship to this tag\">Deep Learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_7\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Song_ICIA17,<br \/>\r\ntitle = {Depth Driven People Counting Using Deep Region Proposal Network},<br \/>\r\nauthor = {Diping Song and Qiao Yu and Alessandro Corbetta},<br \/>\r\nurl = {https:\/\/ieeexplore.ieee.org\/document\/8078944\/},<br \/>\r\ndoi = {10.1109\/ICInfA.2017.8078944},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-10-23},<br \/>\r\nbooktitle = {IEEE International Conference on Information and Automation (ICIA 2017)},<br \/>\r\nkeywords = {Crowd vision, Deep Learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('7','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_7\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8078944\/\" title=\"https:\/\/ieeexplore.ieee.org\/document\/8078944\/\" target=\"_blank\">https:\/\/ieeexplore.ieee.org\/document\/8078944\/<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/ICInfA.2017.8078944\" title=\"Follow DOI:10.1109\/ICInfA.2017.8078944\" target=\"_blank\">doi:10.1109\/ICInfA.2017.8078944<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('7','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_incollection\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('8','tp_links')\" style=\"cursor:pointer;\">Overhead pedestrian tracking for large scale real-life crowd dynamics analyses<\/a> <span class=\"tp_pub_type incollection\">Incollection<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span>Enrico Ronchi (Ed.): <span class=\"tp_pub_additional_booktitle\">New approaches to evacuation modelling, <\/span><span class=\"tp_pub_additional_pages\">pp. 40-51, <\/span><span class=\"tp_pub_additional_publisher\">Lund University Fire Safety Engineering Report, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_8\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('8','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_8\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('8','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_8\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('8','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=6#tppubs\" title=\"Show all publications which have a relationship to this tag\">Big data<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=8#tppubs\" title=\"Show all publications which have a relationship to this tag\">Eindhoven Station<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=1#tppubs\" title=\"Show all publications which have a relationship to this tag\">Pedestrian dynamics<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_8\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@incollection{Corbetta_IAFSS17,<br \/>\r\ntitle = {Overhead pedestrian tracking for large scale real-life crowd dynamics analyses},<br \/>\r\nauthor = {Alessandro Corbetta and Federico Toschi},<br \/>\r\neditor = {Enrico Ronchi},<br \/>\r\nurl = {http:\/\/portal.research.lu.se\/portal\/files\/34762689\/New_approaches_to_evacuation_modelling.pdf},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-09-01},<br \/>\r\nbooktitle = {New approaches to evacuation modelling},<br \/>\r\npages = {40-51},<br \/>\r\npublisher = {Lund University Fire Safety Engineering Report},<br \/>\r\nabstract = {Accurate measurements of pedestrian dynamics, in form of individual trajectories, are paramount to investigate the complex motion of walking individuals and to produce reliable crowd simulation models for ordinary and evacuation conditions. This paper reviews one pedestrian trajectory collection technique, recently employed by the same authors for acquiring crowd dynamics data in real-life conditions. Operating unsupervised, the technique has enabled unprecedented, 24\/7, months-long, pedestrian measurement campaigns that provided millions of individual trajectories, allowing novel statistical insights. The tracking technique leverages overhead depth-sensors, such as Microsoft Kinects, arranged in grids, and ad hoc pedestrian localization algorithms. Here we review its relevant technological aspects in view of statistical crowd dynamics analyses. },<br \/>\r\nkeywords = {Big data, Eindhoven Station, High statistic measurements, Pedestrian dynamics},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {incollection}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('8','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_8\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Accurate measurements of pedestrian dynamics, in form of individual trajectories, are paramount to investigate the complex motion of walking individuals and to produce reliable crowd simulation models for ordinary and evacuation conditions. This paper reviews one pedestrian trajectory collection technique, recently employed by the same authors for acquiring crowd dynamics data in real-life conditions. Operating unsupervised, the technique has enabled unprecedented, 24\/7, months-long, pedestrian measurement campaigns that provided millions of individual trajectories, allowing novel statistical insights. The tracking technique leverages overhead depth-sensors, such as Microsoft Kinects, arranged in grids, and ad hoc pedestrian localization algorithms. Here we review its relevant technological aspects in view of statistical crowd dynamics analyses. <\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('8','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_8\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-file-pdf\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/portal.research.lu.se\/portal\/files\/34762689\/New_approaches_to_evacuation_modelling.pdf\" title=\"http:\/\/portal.research.lu.se\/portal\/files\/34762689\/New_approaches_to_evacuation_[...]\" target=\"_blank\">http:\/\/portal.research.lu.se\/portal\/files\/34762689\/New_approaches_to_evacuation_[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('8','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_conference\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Vlado Menkovski; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('2','tp_links')\" style=\"cursor:pointer;\">Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields<\/a> <span class=\"tp_pub_type conference\">Conference<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_booktitle\">14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), <\/span><span class=\"tp_pub_additional_year\">2017<\/span>, <span class=\"tp_pub_additional_isbn\">ISBN: 978-1-5386-2940-6<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_2\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('2','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=5#tppubs\" title=\"Show all publications which have a relationship to this tag\">Crowd vision<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=4#tppubs\" title=\"Show all publications which have a relationship to this tag\">Deep Learning<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_2\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@conference{Corbetta_AVSS17,<br \/>\r\ntitle = {Weakly supervised training of deep convolutional neural networks for overhead pedestrian localization in depth fields},<br \/>\r\nauthor = {Alessandro Corbetta and Vlado Menkovski and Federico Toschi},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/1706.02850<br \/>\r\nhttp:\/\/ieeexplore.ieee.org\/document\/8078490\/?reload=true},<br \/>\r\ndoi = {10.1109\/AVSS.2017.8078490},<br \/>\r\nisbn = {978-1-5386-2940-6},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-08-30},<br \/>\r\nbooktitle = {14th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)},<br \/>\r\npages = {1-6},<br \/>\r\nabstract = {Overhead depth map measurements capture sufficient amount of information to enable human experts to track pedestrians accurately. However, fully automating this process using image analysis algorithms can be challenging. Even though hand-crafted image analysis algorithms are successful in many common cases, they fail frequently when there are complex interactions of multiple objects in the image. Many of the assumptions underpinning the hand-crafted solutions do not hold in these cases and the multitude of exceptions are hard to model precisely. Deep Learning (DL) algorithms, on the other hand, do not require hand crafted solutions and are the current state-of-the-art in object localization in images. However, they require exceeding amount of annotations to produce successful models. In the case of object localization these annotations are difficult and time consuming to produce. In this work we present an approach for developing pedestrian localization models using DL algorithms with efficient weak supervision from an expert. We circumvent the need for annotation of large corpus of data by annotating only small amount of patches and relying on synthetic data augmentation as a vehicle for injecting expert knowledge in the model training. This approach of weak supervision through expert selection of representative patches, suitable transformations and synthetic data augmentations enables us to successfully develop DL models for pedestrian localization efficiently.},<br \/>\r\nkeywords = {Crowd vision, Deep Learning},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {conference}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_2\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Overhead depth map measurements capture sufficient amount of information to enable human experts to track pedestrians accurately. However, fully automating this process using image analysis algorithms can be challenging. Even though hand-crafted image analysis algorithms are successful in many common cases, they fail frequently when there are complex interactions of multiple objects in the image. Many of the assumptions underpinning the hand-crafted solutions do not hold in these cases and the multitude of exceptions are hard to model precisely. Deep Learning (DL) algorithms, on the other hand, do not require hand crafted solutions and are the current state-of-the-art in object localization in images. However, they require exceeding amount of annotations to produce successful models. In the case of object localization these annotations are difficult and time consuming to produce. In this work we present an approach for developing pedestrian localization models using DL algorithms with efficient weak supervision from an expert. We circumvent the need for annotation of large corpus of data by annotating only small amount of patches and relying on synthetic data augmentation as a vehicle for injecting expert knowledge in the model training. This approach of weak supervision through expert selection of representative patches, suitable transformations and synthetic data augmentations enables us to successfully develop DL models for pedestrian localization efficiently.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_2\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/1706.02850\" title=\"https:\/\/arxiv.org\/abs\/1706.02850\" target=\"_blank\">https:\/\/arxiv.org\/abs\/1706.02850<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/ieeexplore.ieee.org\/document\/8078490\/?reload=true\" title=\"http:\/\/ieeexplore.ieee.org\/document\/8078490\/?reload=true\" target=\"_blank\">http:\/\/ieeexplore.ieee.org\/document\/8078490\/?reload=true<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1109\/AVSS.2017.8078490\" title=\"Follow DOI:10.1109\/AVSS.2017.8078490\" target=\"_blank\">doi:10.1109\/AVSS.2017.8078490<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('2','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Chung-min Lee; Roberto Benzi; Adrian Muntean; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('1','tp_links')\" style=\"cursor:pointer;\">Fluctuations around mean walking behaviours in diluted pedestrian flows<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Physical Review E, <\/span><span class=\"tp_pub_additional_volume\">vol. 95, <\/span><span class=\"tp_pub_additional_pages\">pp. 032316, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_1\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_1\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_1\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('1','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=9#tppubs\" title=\"Show all publications which have a relationship to this tag\">ILIAD15_STA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=3#tppubs\" title=\"Show all publications which have a relationship to this tag\">Langevin Equations<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=7#tppubs\" title=\"Show all publications which have a relationship to this tag\">Metaforum<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=1#tppubs\" title=\"Show all publications which have a relationship to this tag\">Pedestrian dynamics<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_1\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Corbetta_PRE_2017,<br \/>\r\ntitle = {Fluctuations around mean walking behaviours in diluted pedestrian flows},<br \/>\r\nauthor = {Alessandro Corbetta and Chung-min Lee and Roberto Benzi and Adrian Muntean and Federico Toschi},<br \/>\r\nurl = {https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.95.032316},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-03-15},<br \/>\r\njournal = {Physical Review E},<br \/>\r\nvolume = {95},<br \/>\r\npages = {032316},<br \/>\r\nabstract = {Understanding and modeling the dynamics of pedestrian crowds can help with designing and increasing the safety of civil facilities. A key feature of a crowd is its intrinsic stochasticity, appearing even under very diluted conditions, due to the variability in individual behaviors. Individual stochasticity becomes even more important under densely crowded conditions, since it can be nonlinearly magnified and may lead to potentially dangerous collective behaviors. To understand quantitatively crowd stochasticity, we study the real-life dynamics of a large ensemble of pedestrians walking undisturbed, and we perform a statistical analysis of the fully resolved pedestrian trajectories obtained by a yearlong high-resolution measurement campaign. Our measurements have been carried out in a corridor of the Eindhoven University of Technology via a combination of Microsoft Kinect 3D range sensor and automatic head-tracking algorithms. The temporal homogeneity of our large database of trajectories allows us to robustly define and separate average walking behaviors from fluctuations parallel and orthogonal with respect to the average walking path. Fluctuations include rare events when individuals suddenly change their minds and invert their walking directions. Such tendency to invert direction has been poorly studied so far, even if it may have important implications on the functioning and safety of facilities. We propose a model for the dynamics of undisturbed pedestrians, based on stochastic differential equations, that provides a good agreement with our field observations, including the occurrence of rare events.},<br \/>\r\nkeywords = {High statistic measurements, ILIAD15_STA, Langevin Equations, Metaforum, Pedestrian dynamics},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_1\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Understanding and modeling the dynamics of pedestrian crowds can help with designing and increasing the safety of civil facilities. A key feature of a crowd is its intrinsic stochasticity, appearing even under very diluted conditions, due to the variability in individual behaviors. Individual stochasticity becomes even more important under densely crowded conditions, since it can be nonlinearly magnified and may lead to potentially dangerous collective behaviors. To understand quantitatively crowd stochasticity, we study the real-life dynamics of a large ensemble of pedestrians walking undisturbed, and we perform a statistical analysis of the fully resolved pedestrian trajectories obtained by a yearlong high-resolution measurement campaign. Our measurements have been carried out in a corridor of the Eindhoven University of Technology via a combination of Microsoft Kinect 3D range sensor and automatic head-tracking algorithms. The temporal homogeneity of our large database of trajectories allows us to robustly define and separate average walking behaviors from fluctuations parallel and orthogonal with respect to the average walking path. Fluctuations include rare events when individuals suddenly change their minds and invert their walking directions. Such tendency to invert direction has been poorly studied so far, even if it may have important implications on the functioning and safety of facilities. We propose a model for the dynamics of undisturbed pedestrians, based on stochastic differential equations, that provides a good agreement with our field observations, including the occurrence of rare events.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_1\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.95.032316\" title=\"https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.95.032316\" target=\"_blank\">https:\/\/journals.aps.org\/pre\/abstract\/10.1103\/PhysRevE.95.032316<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('1','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Chung-min Lee; Adrian Muntean; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('3','tp_links')\" style=\"cursor:pointer;\">Frame vs. trajectory analyses of pedestrian dynamics asymmetries in a staircase landing<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Collective Dynamics, <\/span><span class=\"tp_pub_additional_volume\">vol. 1, <\/span><span class=\"tp_pub_additional_pages\">pp. 1-27, <\/span><span class=\"tp_pub_additional_year\">2017<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_3\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=6#tppubs\" title=\"Show all publications which have a relationship to this tag\">Big data<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=7#tppubs\" title=\"Show all publications which have a relationship to this tag\">Metaforum<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_3\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Corbetta_CD17,<br \/>\r\ntitle = {Frame vs. trajectory analyses of pedestrian dynamics asymmetries in a staircase landing},<br \/>\r\nauthor = {Alessandro Corbetta and Chung-min Lee and Adrian Muntean and Federico Toschi},<br \/>\r\nurl = {https:\/\/collective-dynamics.eu\/index.php\/cod\/article\/view\/A10},<br \/>\r\nyear  = {2017},<br \/>\r\ndate = {2017-02-03},<br \/>\r\njournal = {Collective Dynamics},<br \/>\r\nvolume = {1},<br \/>\r\npages = {1-27},<br \/>\r\nabstract = {Real-life, out-of-laboratory, measurements of pedestrian walking dynamics allow extensive and fully-resolved statistical analyses. However, data acquisition in real-life is subjected to the randomness and heterogeneity that characterizes crowd flows over time. In a typical real-life location, disparate flow conditions follow one another in random order: for instance, a low density pedestrian co-flow dynamics may suddenly turn into a high density counter-flow scenario and then back again. Isolating occurrences of similar flow conditions within the acquired data is a paramount first step in the analyses in order to avoid spurious statistics and to enable qualitative comparisons.<br \/>\r\n<br \/>\r\nIn this paper we extend our previous investigation on the asymmetric pedestrian dynamics on a staircase landing, where we collected a large statistical database of measurements from ad hoc continuous recordings. This contribution has a two-fold aim: first, method-wise, we discuss an analysis workflow to consider large-scale experimental measurements, suggesting two querying approaches to automatically extract occurrences of similar flow scenarios out of datasets. These pursue aggregation of similar scenarios on either a frame or a trajectory basis. Second, we employ these two different perspectives to further explore asymmetries in the pedestrian dynamics in our measurement site. We report cross-comparisons of statistics of pedestrian positions, velocities and accelerations vs. flow conditions as well as vs. querying approach.},<br \/>\r\nkeywords = {Big data, High statistic measurements, Metaforum},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_3\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Real-life, out-of-laboratory, measurements of pedestrian walking dynamics allow extensive and fully-resolved statistical analyses. However, data acquisition in real-life is subjected to the randomness and heterogeneity that characterizes crowd flows over time. In a typical real-life location, disparate flow conditions follow one another in random order: for instance, a low density pedestrian co-flow dynamics may suddenly turn into a high density counter-flow scenario and then back again. Isolating occurrences of similar flow conditions within the acquired data is a paramount first step in the analyses in order to avoid spurious statistics and to enable qualitative comparisons.<br \/>\r\n<br \/>\r\nIn this paper we extend our previous investigation on the asymmetric pedestrian dynamics on a staircase landing, where we collected a large statistical database of measurements from ad hoc continuous recordings. This contribution has a two-fold aim: first, method-wise, we discuss an analysis workflow to consider large-scale experimental measurements, suggesting two querying approaches to automatically extract occurrences of similar flow scenarios out of datasets. These pursue aggregation of similar scenarios on either a frame or a trajectory basis. Second, we employ these two different perspectives to further explore asymmetries in the pedestrian dynamics in our measurement site. We report cross-comparisons of statistics of pedestrian positions, velocities and accelerations vs. flow conditions as well as vs. querying approach.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_3\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/collective-dynamics.eu\/index.php\/cod\/article\/view\/A10\" title=\"https:\/\/collective-dynamics.eu\/index.php\/cod\/article\/view\/A10\" target=\"_blank\">https:\/\/collective-dynamics.eu\/index.php\/cod\/article\/view\/A10<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('3','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2016\">2016<\/h3><div class=\"tp_publication tp_publication_inbook\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Chung-min Lee; Adrian Muntean; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('5','tp_links')\" style=\"cursor:pointer;\">Asymmetric pedestrian dynamics on a staircase landing from continuous measurements<\/a> <span class=\"tp_pub_type inbook\">Book Chapter<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span>W. Daamen &amp; V.L. Knoop (Ed.): <span class=\"tp_pub_additional_volume\">vol. Traffic and Granular Flow '15, <\/span><span class=\"tp_pub_additional_pages\">pp. 49-56, <\/span><span class=\"tp_pub_additional_publisher\">Berlin: Springer, <\/span><span class=\"tp_pub_additional_year\">2016<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_5\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('5','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_5\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('5','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_5\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('5','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=7#tppubs\" title=\"Show all publications which have a relationship to this tag\">Metaforum<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=1#tppubs\" title=\"Show all publications which have a relationship to this tag\">Pedestrian dynamics<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_5\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inbook{Corbetta_TGF15,<br \/>\r\ntitle = {Asymmetric pedestrian dynamics on a staircase landing from continuous measurements},<br \/>\r\nauthor = {Alessandro Corbetta and Chung-min Lee and Adrian Muntean and Federico Toschi},<br \/>\r\neditor = {W. Daamen & V.L. Knoop},<br \/>\r\nurl = {https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-33482-0_7},<br \/>\r\ndoi = {https:\/\/doi.org\/10.1007\/978-3-319-33482-0_7},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-12-11},<br \/>\r\nvolume = {Traffic and Granular Flow '15},<br \/>\r\npages = {49-56},<br \/>\r\npublisher = {Berlin: Springer},<br \/>\r\nabstract = {We investigate via extensive experimental data the dynamics of pedestrians walking in a corridor-shaped landing in a building at Eindhoven University of Technology. With year-long automatic measurements employing a Microsoft Kinect\u2122 3D-range sensor and ad hoc tracking techniques, we acquired few hundreds of thousands pedestrian trajectories in real-life conditions. Here, we discuss the asymmetric features of the dynamics in the two walking directions with respect to the flights of stairs (i.e. ascending or descending). We provide a detailed analysis of position and speed fields for the cases of pedestrians walking alone undisturbed and for couple of pedestrians in counter-flow. Then, we show average walking velocities exploring all the observed combinations in terms of numbers of pedestrians and walking directions.},<br \/>\r\nkeywords = {High statistic measurements, Metaforum, Pedestrian dynamics},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inbook}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('5','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_5\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We investigate via extensive experimental data the dynamics of pedestrians walking in a corridor-shaped landing in a building at Eindhoven University of Technology. With year-long automatic measurements employing a Microsoft Kinect\u2122 3D-range sensor and ad hoc tracking techniques, we acquired few hundreds of thousands pedestrian trajectories in real-life conditions. Here, we discuss the asymmetric features of the dynamics in the two walking directions with respect to the flights of stairs (i.e. ascending or descending). We provide a detailed analysis of position and speed fields for the cases of pedestrians walking alone undisturbed and for couple of pedestrians in counter-flow. Then, we show average walking velocities exploring all the observed combinations in terms of numbers of pedestrians and walking directions.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('5','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_5\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-33482-0_7\" title=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-33482-0_7\" target=\"_blank\">https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-33482-0_7<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/https:\/\/doi.org\/10.1007\/978-3-319-33482-0_7\" title=\"Follow DOI:https:\/\/doi.org\/10.1007\/978-3-319-33482-0_7\" target=\"_blank\">doi:https:\/\/doi.org\/10.1007\/978-3-319-33482-0_7<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('5','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_mastersthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Jasper Meeusen <\/p><p class=\"tp_pub_title\">Dense Crowd Dynamics <span class=\"tp_pub_type mastersthesis\">Masters Thesis<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">Eindhoven University of Technology, <\/span><span class=\"tp_pub_additional_year\">2016<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_11\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('11','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_11\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('11','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=8#tppubs\" title=\"Show all publications which have a relationship to this tag\">Eindhoven Station<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_11\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@mastersthesis{Meeusen_MSC17,<br \/>\r\ntitle = {Dense Crowd Dynamics},<br \/>\r\nauthor = {Jasper Meeusen },<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-11-15},<br \/>\r\nschool = {Eindhoven University of Technology},<br \/>\r\nabstract = {We analyse the experimental data gathered at the Eindhoven train station and extent the mathematical model previously developed for describing single (undisturbed) pedestrian dynamics [Cor16]. Our goal is to develop a mathematical model which describes the dynamics shown by pedestrians more realistic, with the goals of describing them beyond their average motion. For this we first analyse the variety of flow conditions at the Eindhoven train station and develop a framework for selecting homogeneous flow conditions and extent the undisturbed pedestrian model. We show that we can describe the dynamics of undisturbed pedestrians at the train station including running individuals. In crowds, interactions play a prominent role and we start by analysing the avoidance behaviour of individuals. We show that,after avoidance, individual pedestrians continue walking along their new trajectory and that we can reproduce this behaviour by the means of averages. Lastly we study the effects of higher densities and conclude that the model needs further extensions to describe the dynamics at higher densities.},<br \/>\r\nkeywords = {Eindhoven Station, High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {mastersthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('11','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_11\" style=\"display:none;\"><div class=\"tp_abstract_entry\">We analyse the experimental data gathered at the Eindhoven train station and extent the mathematical model previously developed for describing single (undisturbed) pedestrian dynamics [Cor16]. Our goal is to develop a mathematical model which describes the dynamics shown by pedestrians more realistic, with the goals of describing them beyond their average motion. For this we first analyse the variety of flow conditions at the Eindhoven train station and develop a framework for selecting homogeneous flow conditions and extent the undisturbed pedestrian model. We show that we can describe the dynamics of undisturbed pedestrians at the train station including running individuals. In crowds, interactions play a prominent role and we start by analysing the avoidance behaviour of individuals. We show that,after avoidance, individual pedestrians continue walking along their new trajectory and that we can reproduce this behaviour by the means of averages. Lastly we study the effects of higher densities and conclude that the model needs further extensions to describe the dynamics at higher densities.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('11','tp_abstract')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_inproceedings\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Chung-min Lee; Jasper Meeusen; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('9','tp_links')\" style=\"cursor:pointer;\">Continuous measurements of real-life bidirectional pedestrian flows on a wide walkway<\/a> <span class=\"tp_pub_type inproceedings\">Inproceedings<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_booktitle\">Proceedings of Pedestrian and Evacuation Dynamics 2016, <\/span><span class=\"tp_pub_additional_pages\">pp. 18-24, <\/span><span class=\"tp_pub_additional_year\">2016<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_9\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('9','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_9\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('9','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_9\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('9','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=6#tppubs\" title=\"Show all publications which have a relationship to this tag\">Big data<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=8#tppubs\" title=\"Show all publications which have a relationship to this tag\">Eindhoven Station<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_9\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@inproceedings{Corbetta_PED16,<br \/>\r\ntitle = {Continuous measurements of real-life bidirectional pedestrian flows on a wide walkway},<br \/>\r\nauthor = {Alessandro Corbetta and Chung-min Lee and Jasper Meeusen and Federico Toschi},<br \/>\r\nurl = {https:\/\/arxiv.org\/abs\/1607.02897<br \/>\r\nhttps:\/\/www.researchgate.net\/publication\/305182380_Continuous_measurements_of_real-life_bidirectional_pedestrian_flows_on_a_wide_walkway},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-10-12},<br \/>\r\nbooktitle = {Proceedings of Pedestrian and Evacuation Dynamics 2016},<br \/>\r\npages = {18-24},<br \/>\r\nabstract = {Employing partially overlapping overhead kinectTMS sensors and automatic pedestrian tracking algorithms we recorded the crowd traffic in a rectilinear section of the main walkway of Eindhoven train station on a 24\/7 basis. Beside giving access to the train platforms (it passes underneath the railways), the walkway plays an important connection role in the city. Several crowding scenarios occur during the day, including high- and low-density dynamics in uni- and bi-directional regimes. In this paper we discuss our recording technique and we illustrate preliminary data analyses. Via fundamental diagrams-like representations we report pedestrian velocities and fluxes vs. pedestrian density. Considering the density range 0 - 1.1ped\/m2, we find that at densities lower than 0.8ped\/m2 pedestrians in unidirectional flows walk faster than in bidirectional regimes. On the opposite, velocities and fluxes for even bidirectional flows are higher above 0.8ped\/m2.},<br \/>\r\nkeywords = {Big data, Eindhoven Station, High statistic measurements},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {inproceedings}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('9','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_9\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Employing partially overlapping overhead kinectTMS sensors and automatic pedestrian tracking algorithms we recorded the crowd traffic in a rectilinear section of the main walkway of Eindhoven train station on a 24\/7 basis. Beside giving access to the train platforms (it passes underneath the railways), the walkway plays an important connection role in the city. Several crowding scenarios occur during the day, including high- and low-density dynamics in uni- and bi-directional regimes. In this paper we discuss our recording technique and we illustrate preliminary data analyses. Via fundamental diagrams-like representations we report pedestrian velocities and fluxes vs. pedestrian density. Considering the density range 0 - 1.1ped\/m2, we find that at densities lower than 0.8ped\/m2 pedestrians in unidirectional flows walk faster than in bidirectional regimes. On the opposite, velocities and fluxes for even bidirectional flows are higher above 0.8ped\/m2.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('9','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_9\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"ai ai-arxiv\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/arxiv.org\/abs\/1607.02897\" title=\"https:\/\/arxiv.org\/abs\/1607.02897\" target=\"_blank\">https:\/\/arxiv.org\/abs\/1607.02897<\/a><\/li><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.researchgate.net\/publication\/305182380_Continuous_measurements_of_real-life_bidirectional_pedestrian_flows_on_a_wide_walkway\" title=\"https:\/\/www.researchgate.net\/publication\/305182380_Continuous_measurements_of_re[...]\" target=\"_blank\">https:\/\/www.researchgate.net\/publication\/305182380_Continuous_measurements_of_re[...]<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('9','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><div class=\"tp_publication tp_publication_phdthesis\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('10','tp_links')\" style=\"cursor:pointer;\">Multiscale crowd dynamics: physical analysis, modeling and applications<\/a> <span class=\"tp_pub_type phdthesis\">PhD Thesis<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_school\">Eindhoven University of Technology, <\/span><span class=\"tp_pub_additional_year\">2016<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_10\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('10','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_10\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('10','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_10\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('10','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=8#tppubs\" title=\"Show all publications which have a relationship to this tag\">Eindhoven Station<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=7#tppubs\" title=\"Show all publications which have a relationship to this tag\">Metaforum<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_10\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@phdthesis{Corbetta_PDE16,<br \/>\r\ntitle = {Multiscale crowd dynamics: physical analysis, modeling and applications},<br \/>\r\nauthor = {Alessandro Corbetta},<br \/>\r\nurl = {http:\/\/repository.tue.nl\/812292},<br \/>\r\ndoi = {978-90-386-4014-3},<br \/>\r\nyear  = {2016},<br \/>\r\ndate = {2016-02-02},<br \/>\r\nschool = {Eindhoven University of Technology},<br \/>\r\nabstract = {In this thesis we investigate the dynamics of pedestrian crowds in a fundamental and applied perspective. Envisioning a quantitative understanding we employ ad hoc largescale<br \/>\r\nexperimental measurements as well as analytic and numerical models. Moreover, we analyze current regulations in matter of pedestrians structural actions (structural loads),<br \/>\r\nin view of the need of guaranteeing pedestrian safety in serviceable built environments. <br \/>\r\nThis work comes in three complementary parts, in which we adopt distinct perspectives<br \/>\r\nand conceptually different tools, respectively from statistical physics, mathematical modeling and structural engineering.<br \/>\r\n<br \/>\r\nThe statistical dynamics of individual pedestrians is the subject of the first part of this thesis. Although individual trajectories may appear random, once we analyze them in large ensembles we expect \u201cpreferred\u201d behaviors to emerge. Thus, we envisage individual paths as fluctuations around such established routes. To investigate this aspect, we perform year-long 24\/7 measurements of pedestrian trajectories in real-life conditions, which we analyze statistically and via Langevin-like models. Two measurement locations have been considered: a corridor-shaped landing in the Metaforum building at Eindhoven University of Technology and the main walkway within Eindhoven Train Station. The measurement technique we employ is based on overhead Microsoft Kinect\u2122 3D-range sensors and on ad hoc tracking algorithms.<br \/>\r\n<br \/>\r\nIn the second part of the thesis, we zoom out from the perspective of individual pedestrians and we look at crowds, adopting a genuine mathematical modeling point of view. We establish a general background of crowd dynamics modeling, which includes an introduction to the modeling framework by Cristiani, Piccoli and Tosin (CPT). This framework is suitable to model systems governed by social interactions and stands on a first order measure-valued evolution equation. Measures enable a unified treatment of crowd flows at the microscopic (particle-like) and macroscopic (fluid-like) observation scales. In a Wasserstein space context, we wonder when the microscopic and macroscopic dynamics are consistent as the number of agents involved grows. In this comparison we consider agents whose mass (in a measure sense) is independent on the size of the crowd. Then, we focus on the modeling of crowds moving across footbridge-like (i.e. elongated) geometries. In these simple scenarios we are able to give a reasonable form to the CPT model components from phenomenological considerations and thus perform simulations.<br \/>\r\n<br \/>\r\nIn the third part of the thesis, we consider crowd flows on footbridges in relation to the way the safety of pedestrians is ensured by the current building practice. We address crowd-footbridge systems in terms of featured uncertainties. We provide a review of the literature giving a synthetic comparison of uncertainties involved. In general, beside the uncertainties affecting the mechanical properties of the structure, the status of the crowd is itself uncertain. Taking inspiration from wind engineering, we approach the crowd dynamics through a distinction between the approaching traffic and the crossing traffic.<br \/>\r\nIn the review, we consider how building regulations address the crowd load. On one hand, no uncertainty, nor variability, is considered on the crowd state, therefore the roughest possible model (constant load) is typically retained. On the other hand, we notice how a large dissent is present in the prescribed load values, suggesting a possible inadequacy in regulations. Finally, we propose a framework to deal with uncertainties related to the crowd traffic, and specifically the crowd density. },<br \/>\r\nkeywords = {Eindhoven Station, High statistic measurements, Metaforum},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {phdthesis}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('10','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_10\" style=\"display:none;\"><div class=\"tp_abstract_entry\">In this thesis we investigate the dynamics of pedestrian crowds in a fundamental and applied perspective. Envisioning a quantitative understanding we employ ad hoc largescale<br \/>\r\nexperimental measurements as well as analytic and numerical models. Moreover, we analyze current regulations in matter of pedestrians structural actions (structural loads),<br \/>\r\nin view of the need of guaranteeing pedestrian safety in serviceable built environments. <br \/>\r\nThis work comes in three complementary parts, in which we adopt distinct perspectives<br \/>\r\nand conceptually different tools, respectively from statistical physics, mathematical modeling and structural engineering.<br \/>\r\n<br \/>\r\nThe statistical dynamics of individual pedestrians is the subject of the first part of this thesis. Although individual trajectories may appear random, once we analyze them in large ensembles we expect \u201cpreferred\u201d behaviors to emerge. Thus, we envisage individual paths as fluctuations around such established routes. To investigate this aspect, we perform year-long 24\/7 measurements of pedestrian trajectories in real-life conditions, which we analyze statistically and via Langevin-like models. Two measurement locations have been considered: a corridor-shaped landing in the Metaforum building at Eindhoven University of Technology and the main walkway within Eindhoven Train Station. The measurement technique we employ is based on overhead Microsoft Kinect\u2122 3D-range sensors and on ad hoc tracking algorithms.<br \/>\r\n<br \/>\r\nIn the second part of the thesis, we zoom out from the perspective of individual pedestrians and we look at crowds, adopting a genuine mathematical modeling point of view. We establish a general background of crowd dynamics modeling, which includes an introduction to the modeling framework by Cristiani, Piccoli and Tosin (CPT). This framework is suitable to model systems governed by social interactions and stands on a first order measure-valued evolution equation. Measures enable a unified treatment of crowd flows at the microscopic (particle-like) and macroscopic (fluid-like) observation scales. In a Wasserstein space context, we wonder when the microscopic and macroscopic dynamics are consistent as the number of agents involved grows. In this comparison we consider agents whose mass (in a measure sense) is independent on the size of the crowd. Then, we focus on the modeling of crowds moving across footbridge-like (i.e. elongated) geometries. In these simple scenarios we are able to give a reasonable form to the CPT model components from phenomenological considerations and thus perform simulations.<br \/>\r\n<br \/>\r\nIn the third part of the thesis, we consider crowd flows on footbridges in relation to the way the safety of pedestrians is ensured by the current building practice. We address crowd-footbridge systems in terms of featured uncertainties. We provide a review of the literature giving a synthetic comparison of uncertainties involved. In general, beside the uncertainties affecting the mechanical properties of the structure, the status of the crowd is itself uncertain. Taking inspiration from wind engineering, we approach the crowd dynamics through a distinction between the approaching traffic and the crossing traffic.<br \/>\r\nIn the review, we consider how building regulations address the crowd load. On one hand, no uncertainty, nor variability, is considered on the crowd state, therefore the roughest possible model (constant load) is typically retained. On the other hand, we notice how a large dissent is present in the prescribed load values, suggesting a possible inadequacy in regulations. Finally, we propose a framework to deal with uncertainties related to the crowd traffic, and specifically the crowd density. <\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('10','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_10\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/repository.tue.nl\/812292\" title=\"http:\/\/repository.tue.nl\/812292\" target=\"_blank\">http:\/\/repository.tue.nl\/812292<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/978-90-386-4014-3\" title=\"Follow DOI:978-90-386-4014-3\" target=\"_blank\">doi:978-90-386-4014-3<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('10','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2015\">2015<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Adrian Muntean; Kiamars Vafayi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('4','tp_links')\" style=\"cursor:pointer;\"> Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Mathematical Biosciences and Engineering, <\/span><span class=\"tp_pub_additional_volume\">vol. 12, <\/span><span class=\"tp_pub_additional_number\">no. 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 337 - 356, <\/span><span class=\"tp_pub_additional_year\">2015<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_4\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('4','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_4\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('4','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_4\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('4','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=7#tppubs\" title=\"Show all publications which have a relationship to this tag\">Metaforum<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_4\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Corbetta_MBE15,<br \/>\r\ntitle = { Parameter estimation of social forces in pedestrian dynamics models via a probabilistic method},<br \/>\r\nauthor = {Alessandro Corbetta and Adrian Muntean and Kiamars Vafayi},<br \/>\r\nurl = {https:\/\/www.aimsciences.org\/journals\/displayArticlesnew.jsp?paperID=10700},<br \/>\r\ndoi = {10.3934\/mbe.2015.12.337},<br \/>\r\nyear  = {2015},<br \/>\r\ndate = {2015-04-01},<br \/>\r\njournal = {Mathematical Biosciences and Engineering},<br \/>\r\nvolume = {12},<br \/>\r\nnumber = {2},<br \/>\r\npages = {337 - 356},<br \/>\r\nabstract = {Focusing on a specific crowd dynamics situation, including real life experiments and measurements, our paper targets a twofold aim: (1) we present a Bayesian probabilistic method to estimate the value and the uncertainty (in the form of a probability density function) of parameters in crowd dynamic models from the experimental data; and (2) we introduce a fitness measure for the models to classify a couple of model structures (forces) according to their fitness to the experimental data, preparing the stage for a more general model-selection and validation strategy inspired by probabilistic data analysis. Finally, we review the essential aspects of our experimental setup and measurement technique.},<br \/>\r\nkeywords = {High statistic measurements, Metaforum},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('4','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_4\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Focusing on a specific crowd dynamics situation, including real life experiments and measurements, our paper targets a twofold aim: (1) we present a Bayesian probabilistic method to estimate the value and the uncertainty (in the form of a probability density function) of parameters in crowd dynamic models from the experimental data; and (2) we introduce a fitness measure for the models to classify a couple of model structures (forces) according to their fitness to the experimental data, preparing the stage for a more general model-selection and validation strategy inspired by probabilistic data analysis. Finally, we review the essential aspects of our experimental setup and measurement technique.<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('4','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_4\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/www.aimsciences.org\/journals\/displayArticlesnew.jsp?paperID=10700\" title=\"https:\/\/www.aimsciences.org\/journals\/displayArticlesnew.jsp?paperID=10700\" target=\"_blank\">https:\/\/www.aimsciences.org\/journals\/displayArticlesnew.jsp?paperID=10700<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.3934\/mbe.2015.12.337\" title=\"Follow DOI:10.3934\/mbe.2015.12.337\" target=\"_blank\">doi:10.3934\/mbe.2015.12.337<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('4','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><h3 class=\"tp_h3\" id=\"tp_h3_2014\">2014<\/h3><div class=\"tp_publication tp_publication_article\"><div class=\"tp_pub_info\"><p class=\"tp_pub_author\">Alessandro Corbetta; Luca Bruno; Adrian Muntean; Federico Toschi<\/p><p class=\"tp_pub_title\"><a class=\"tp_title_link\" onclick=\"teachpress_pub_showhide('6','tp_links')\" style=\"cursor:pointer;\">High statistics measurements of pedestrian dynamics<\/a> <span class=\"tp_pub_type article\">Journal Article<\/span> <\/p><p class=\"tp_pub_additional\"><span class=\"tp_pub_additional_in\">In: <\/span><span class=\"tp_pub_additional_journal\">Transportation Research Procedia, <\/span><span class=\"tp_pub_additional_volume\">vol. 2, <\/span><span class=\"tp_pub_additional_pages\">pp. 96-104, <\/span><span class=\"tp_pub_additional_year\">2014<\/span>.<\/p><p class=\"tp_pub_menu\"><span class=\"tp_abstract_link\"><a id=\"tp_abstract_sh_6\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('6','tp_abstract')\" title=\"Show abstract\" style=\"cursor:pointer;\">Abstract<\/a><\/span> | <span class=\"tp_resource_link\"><a id=\"tp_links_sh_6\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('6','tp_links')\" title=\"Show links and resources\" style=\"cursor:pointer;\">Links<\/a><\/span> | <span class=\"tp_bibtex_link\"><a id=\"tp_bibtex_sh_6\" class=\"tp_show\" onclick=\"teachpress_pub_showhide('6','tp_bibtex')\" title=\"Show BibTeX entry\" style=\"cursor:pointer;\">BibTeX<\/a><\/span> | <span class=\"tp_pub_tags_label\">Tags: <\/span><a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=2#tppubs\" title=\"Show all publications which have a relationship to this tag\">High statistic measurements<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=9#tppubs\" title=\"Show all publications which have a relationship to this tag\">ILIAD15_STA<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=7#tppubs\" title=\"Show all publications which have a relationship to this tag\">Metaforum<\/a>, <a rel=\"nofollow\" href=\"https:\/\/crowdflow.phys.tue.nl\/wordpress\/publications\/?tgid=1#tppubs\" title=\"Show all publications which have a relationship to this tag\">Pedestrian dynamics<\/a><\/p><div class=\"tp_bibtex\" id=\"tp_bibtex_6\" style=\"display:none;\"><div class=\"tp_bibtex_entry\"><pre>@article{Corbetta_TRP14,<br \/>\r\ntitle = {High statistics measurements of pedestrian dynamics},<br \/>\r\nauthor = {Alessandro Corbetta and Luca Bruno and Adrian Muntean and Federico Toschi},<br \/>\r\nurl = {http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352146514000490},<br \/>\r\ndoi = {10.1016\/j.trpro.2014.09.013},<br \/>\r\nyear  = {2014},<br \/>\r\ndate = {2014-10-24},<br \/>\r\njournal = {Transportation Research Procedia},<br \/>\r\nvolume = {2},<br \/>\r\npages = {96-104},<br \/>\r\nabstract = {Aiming at a quantitative understanding of basic aspects of pedestrian dynamics, extensive and high-accuracy measurements of real-life pedestrian trajectories have been performed. A measurement strategy based on Microsoft KinectTM has been used. Specifically, more than 100.000 pedestrians have been tracked while walking along a trafficked corridor at the Eindhoven University of Technology, The Netherlands. The obtained trajectories have been analyzed as ensemble data.<br \/>\r\nThe main result consists of a statistical descriptions of pedestrian characteristic kinematic quantities such as positions and fundamental diagrams, possibly conditioned to the local crowd flow (e.g. co-flow or counter-flow).<br \/>\r\n<br \/>\r\n},<br \/>\r\nkeywords = {High statistic measurements, ILIAD15_STA, Metaforum, Pedestrian dynamics},<br \/>\r\npubstate = {published},<br \/>\r\ntppubtype = {article}<br \/>\r\n}<br \/>\r\n<\/pre><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('6','tp_bibtex')\">Close<\/a><\/p><\/div><div class=\"tp_abstract\" id=\"tp_abstract_6\" style=\"display:none;\"><div class=\"tp_abstract_entry\">Aiming at a quantitative understanding of basic aspects of pedestrian dynamics, extensive and high-accuracy measurements of real-life pedestrian trajectories have been performed. A measurement strategy based on Microsoft KinectTM has been used. Specifically, more than 100.000 pedestrians have been tracked while walking along a trafficked corridor at the Eindhoven University of Technology, The Netherlands. The obtained trajectories have been analyzed as ensemble data.<br \/>\r\nThe main result consists of a statistical descriptions of pedestrian characteristic kinematic quantities such as positions and fundamental diagrams, possibly conditioned to the local crowd flow (e.g. co-flow or counter-flow).<br \/>\r\n<br \/>\r\n<\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('6','tp_abstract')\">Close<\/a><\/p><\/div><div class=\"tp_links\" id=\"tp_links_6\" style=\"display:none;\"><div class=\"tp_links_entry\"><ul class=\"tp_pub_list\"><li><i class=\"fas fa-globe\"><\/i><a class=\"tp_pub_list\" href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352146514000490\" title=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352146514000490\" target=\"_blank\">http:\/\/www.sciencedirect.com\/science\/article\/pii\/S2352146514000490<\/a><\/li><li><i class=\"ai ai-doi\"><\/i><a class=\"tp_pub_list\" href=\"https:\/\/dx.doi.org\/10.1016\/j.trpro.2014.09.013\" title=\"Follow DOI:10.1016\/j.trpro.2014.09.013\" target=\"_blank\">doi:10.1016\/j.trpro.2014.09.013<\/a><\/li><\/ul><\/div><p class=\"tp_close_menu\"><a class=\"tp_close\" onclick=\"teachpress_pub_showhide('6','tp_links')\">Close<\/a><\/p><\/div><\/div><\/div><\/div><\/div>\n<p><a href=\"https:\/\/github.com\/crowdflowTUe\">The processing scripts for our datasets can be found on github <i class=\"fa fa-github \" ><\/i>.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The processing scripts for our datasets can be found on github .<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_mi_skip_tracking":false,"ngg_post_thumbnail":0},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Publications - Crowdflow Research Group<\/title>\n<meta name=\"description\" content=\"Publications by the Crowdflow Research Group. 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