Asymmetric Pedestrian Dynamics on a Staircase Landing from Continuous Measurements

Alessandro Corbetta (), Chung-Min Lee (), Adrian Muntean () and Federico Toschi ()
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Alessandro Corbetta: Eindhoven University of Technology
Chung-Min Lee: California State University Long Beach
Adrian Muntean: Karlstad University
Federico Toschi: Eindhoven University of Technology

A chapter in Traffic and Granular Flow '15, 2016, pp 49-56 from Springer

Abstract: Abstract We investigateCorbetta, Alessandro via extensive experimentalLee, Chung-Min data the dynamics of pedestriansMuntean, Adrian walking in a corridor-shaped landingToschi, Federico in a building at Eindhoven University of Technology. With year-long automatic measurements employing a Microsoft Kinect™ 3D-range sensor and ad hoc tracking techniques, we acquired few hundreds of thousands pedestrian trajectories in real-life conditions. Here, we discuss the asymmetric features of the dynamics in the two walking directions with respect to the flights of stairs (i.e. ascending or descending). We provide a detailed analysis of position and speed fields for the cases of pedestrians walking alone undisturbed and for couple of pedestrians in counter-flow. Then, we show average walking velocities exploring all the observed combinations in terms of numbers of pedestrians and walking directions.

Keywords: Particle Tracking Velocimetry; Head Tracking; Walking Direction; Pedestrian Traffic; Speed Drop (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-33482-0_7

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DOI: 10.1007/978-3-319-33482-0_7

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