@inproceedings{8831c4ff94a24521a24005005b9a90f9,
title = "High statistics measurements of pedestrian dynamics",
abstract = "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. The 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). Keywords: pedestrian dynamics; pedestrian tracking; high statistics measurements; statistical mechanics",
author = "A. Corbetta and L. Bruno and A. Muntean and F. Toschi",
year = "2014",
doi = "10.1016/j.trpro.2014.09.013",
language = "English",
series = "Transportation Research Procedia",
pages = "96--104",
editor = "W. Daamen and D.C. Duives and S.P. Hoogendoorn",
booktitle = "The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014, Delft, The Netherlands, October 22-24, 2014,)",
note = "conference; The Conference on Pedestrian and Evacuation Dynamics 2014; 2014-10-22; 2014-10-24 ; Conference date: 22-10-2014 Through 24-10-2014",
}