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Abstract

Understanding the complex behavior of pedestrians walking in crowds is a challenge for both science and technology. In particular, obtaining reliable models for crowd dynamics, capable of exhibiting qualitatively and quantitatively the observed emergent features of pedestrian flows, may have a remarkable impact for matters as security, comfort and structural serviceability. Aiming at a quantitative understanding of basic aspects of pedestrian dynamics, extensive and high-accuracy measurements of pedestrian trajectories have been performed. More than 100.000 real-life, time-resolved trajectories of people walking along a trafficked corridor in a building of the Eindhoven University of Technology, The Netherlands, have been recorded. A measurement strategy based on Microsoft Kinect TM has been used; the trajectories of pedestrians 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 local crowding status (e.g., one or more pedestrian(s) walking, presence of co-flows and counter-flows).
Original languageEnglish
Place of PublicationEindhoven
PublisherTechnische Universiteit Eindhoven
Number of pages14
Publication statusPublished - 2014

Publication series

NameCASA-report
Volume1422
ISSN (Print)0926-4507

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Trajectories
Statistics
Kinematics

Cite this

Corbetta, A., Bruno, L., Muntean, A., & Toschi, F. (2014). High statistics measurements of pedestrian dynamics. (CASA-report; Vol. 1422). Eindhoven: Technische Universiteit Eindhoven.
Corbetta, A. ; Bruno, L. ; Muntean, A. ; Toschi, F. / High statistics measurements of pedestrian dynamics. Eindhoven : Technische Universiteit Eindhoven, 2014. 14 p. (CASA-report).
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Corbetta, A, Bruno, L, Muntean, A & Toschi, F 2014, High statistics measurements of pedestrian dynamics. CASA-report, vol. 1422, Technische Universiteit Eindhoven, Eindhoven.

High statistics measurements of pedestrian dynamics. / Corbetta, A.; Bruno, L.; Muntean, A.; Toschi, F.

Eindhoven : Technische Universiteit Eindhoven, 2014. 14 p. (CASA-report; Vol. 1422).

Research output: Book/ReportReportAcademic

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Corbetta A, Bruno L, Muntean A, Toschi F. High statistics measurements of pedestrian dynamics. Eindhoven: Technische Universiteit Eindhoven, 2014. 14 p. (CASA-report).