@article{ref1,
title="High statistics measurements of pedestrian dynamics",
journal="Transportation research procedia",
year="2014",
author="Corbetta, Alessandro and Bruno, Luca and Muntean, Adrian and Toschi, Federico",
volume="2",
number="",
pages="96-104",
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).<p /><p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2014.09.013",
url="http://dx.doi.org/10.1016/j.trpro.2014.09.013"
}