Analysis of dynamic features in intersecting pedestrian flows

doi:10.1088/1674-1056/26/9/098902

Abstract This paper focuses on the simulation analysis of stripe formation and dynamic features of intersecting pedestrian flows. The intersecting flows consist of two streams of pedestrians and each pedestrian stream has a desired walking direction. The model adopted in the simulations is the social force model, which can reproduce the self-organization phenomena successfully. Three scenarios of different cross angles are established. The simulations confirm the empirical observations that there is a stripe formation when two streams of pedestrians intersect and the direction of the stripes is perpendicular to the sum of the directional vectors of the two streams. It can be concluded from the numerical simulation results that smaller cross angle results in higher mean speed and lower level of speed fluctuation. Moreover, the detailed pictures of pedestrians' moving behavior at intersections are given as well.

Keywords: intersecting pedestrian flows social force model stripes formation cross angle

Received: 25 February 2017
Revised: 22 May 2017
Accepted manuscript online:

PACS:	89.40.-a	(Transportation)
	05.65.+b	(Self-organized systems)
	07.05.Tp	(Computer modeling and simulation)

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61233001) and the Fundamental Research Funds for the Central Universities, China (Grant No. 2017JBM014).

Corresponding Authors: Xiu-Ming Yao
E-mail: xmyao@bjtu.edu.cn

Cite this article:

Hai-Rong Dong(董海荣), Qi Meng(孟琦), Xiu-Ming Yao(姚秀明), Xiao-Xia Yang(杨晓霞), Qian-Ling Wang(王千龄) Analysis of dynamic features in intersecting pedestrian flows 2017 Chin. Phys. B 26 098902

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