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Dataset on diluted pedestrian dynamics is available for download

Our dataset on diluted pedestrian dynamics is available for download at the 4TU datacentrum repository at

https://doi.org/10.4121/uuid:25289586-4fda-4931-8904-d63efe4aa0b8

The dataset has been employed in our previous publication

[1] A. Corbetta, C. Lee, R. Benzi, A. Muntean, F. Toschi. Fluctuations around mean walking behaviours in diluted pedestrian flows. Phys. Rev. E. 95, 032316, 2017.

Basic scripts for the usage are available on github at https://github.com/crowdflowTUe/MF_landing_data_analysis

Trajectory portrait from a subset of the diluted pedestrian dynamics dataset

Dataset description

This is a dataset of pedestrian trajectories recorded on a nearly 24/7 schedule in a landing in the Metaforum building at Eindhoven University of Technology. The purpose of the dataset is to enable ensemble analyses of diluted pedestrian motion.

The data acquisition spanned over a year and, overall, we collected about 250.000 trajectories. Via an overhead Microsoft Kinect sensor we first obtained depth imaging, then we employed ad hoc localization algorithms and Particle Tracking Velocimetry to estimate the trajectory of individual heads (cf. [1]). The current dataset includes 20.000 trajectories from pedestrians walking undisturbed, i.e. in diluted conditions (see Figure). In other words, we considered individuals walking alone in the facility.

The dataset includes 10.000 trajectories of pedestrians crossing the landing entering from the left hand side (file: ``left-to-right.ssv’’) and 10.000 trajectories of pedestrians entering in the opposite side (file: ``right-to-left.ssv’’, right-left reference is given according to [1]).

The trajectories are in the following table format:

Pid Rstep X Y X_SG Y_SG U_SG V_SG

where:\

To use the dataset please cite [1] as well as this dataset (DOI: https://doi.org/10.4121/uuid:25289586-4fda-4931-8904-d63efe4aa0b8).