@inproceedings{
 title = {High statistics measurements of pedestrian dynamics},
 type = {inproceedings},
 year = {2014},
 keywords = {high statistics measurements,pedestrian dynamics,pedestrian tracking,statistical mechanics},
 volume = {2},
 id = {9963e2d9-7ef6-3b0e-a471-ce7b9c98f8dc},
 created = {2019-08-23T19:37:41.778Z},
 file_attached = {false},
 profile_id = {b73905ef-6774-3e9d-ac7e-8d5666c2a46e},
 last_modified = {2019-08-23T19:37:41.778Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 abstract = {© 2014 The Authors. 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).},
 bibtype = {inproceedings},
 author = {Corbetta, A. and Bruno, L. and Muntean, A. and Toschi, F.},
 doi = {10.1016/j.trpro.2014.09.013},
 booktitle = {Transportation Research Procedia}
}

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