High statistics measurements of pedestrian dynamics (Contributo in atti di convegno)

Type
Label
  • High statistics measurements of pedestrian dynamics (Contributo in atti di convegno) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.trpro.2014.09.013 (literal)
Alternative label
  • A. Corbetta, L. Bruno, A. Muntean, F. Toschi (2014)
    High statistics measurements of pedestrian dynamics
    in The Conference on Pedestrian and Evacuation Dynamics 2014 (PED 2014), Delft, The Netherlands, 22-24 October 2014
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • A. Corbetta, L. Bruno, A. Muntean, F. Toschi (literal)
Pagina inizio
  • 96 (literal)
Pagina fine
  • 104 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
  • 2 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CASA- Centre for Analysis, Scientific computing and Applications, Department of Mathematics and Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10126 Torino, Italy Department of Architecture and Design, Politecnico di Torino, Viale Mattioli 39, 10125, Torino, Italy ICMS - Institute for Complex Molecular Systems, Eindhoven University of Technology, The Netherlands Department of Applied Physics, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands CNR-IAC, Via dei Taurini 19, 00185 Rome, Italy (literal)
Titolo
  • High statistics measurements of pedestrian dynamics (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Winnie Daamen, DorineC. Duives and Serge P. Hoogendoorn (literal)
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). (literal)
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