Experimental Study of High-Density Pedestrian Flow Field Characteristics at a Crossing

Liping Lian (), Weiguo Song (), Yuen Kwok Kit Richard () and Chunlin Wu ()
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Liping Lian: University of Science and Technology of China, State Key Laboratory of Fire Science
Weiguo Song: University of Science and Technology of China, State Key Laboratory of Fire Science
Yuen Kwok Kit Richard: City University of Hong Kong, Department of Civil and Architectural Engineering
Chunlin Wu: University of Science and Technology of China, State Key Laboratory of Fire Science

A chapter in Traffic and Granular Flow '15, 2016, pp 57-64 from Springer

Abstract: Abstract This paper presentsLian, Liping an experimental studySong, Weiguo on four-directional intersectingRichard, Yuen Kwok Kit pedestrian flows to give insightWu, Chunlin into collective movement characteristics of pedestrians at a crossing. The experiments were performed in a university and up to 364 students took part in. Pedestrian trajectories are extracted by means of automatic image processing. From trajectories, we get positions of each person in each frame and find pedestrian gap at high densities. Velocity field and its corresponding streamlines and contour lines are constructed and analysed. An efficient rotary traffic pattern occurs when people walk on their right hand side along the corridors. Moreover, turbulence intensities in different scenarios are compared and the results imply that putting an obstacle in the centre of cross area and pedestrians walking on the right hand side along the corridors will improve traffic stability in the cross area. These findings can be used to calibrate pedestrian simulation models and help us understand the mechanism of collective movement better.

Keywords: Turbulence Intensity; Proper Orthogonal Decomposition; Local Velocity; Pedestrian Flow; Social Force Model (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_8

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DOI: 10.1007/978-3-319-33482-0_8

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