Experimental Study on Variation Strategies for Complex Social Pedestrian Groups in Conflict Conditions

Authors

  • Xiaolei Zou College of Transportation Engineering, Tongji University, Shanghai, China
  • Xiaoyi Qu College of Public Safety Management, Shanghai Open University, Shanghai, China
  • Ruihua Xu College of Transportation Engineering, Tongji University, Shanghai, China

DOI:

https://doi.org/10.17815/CD.2020.55

Keywords:

variation strategies, complex social pedestrian groups, group behavior, self-organization, conflict conditions

Abstract

The paper concentrates on an experimental study of the variation strategies of complex social pedestrian groups in conflict conditions. We tracked the trajectories of group members and analysed the configuration of both the complex group and its subgroups when the groups walked through a narrowing passage, passed by an obstacle or faced counter flows. We summarized the variation strategies of complex groups when they faced these conflict conditions. The effect of groups on the crowd was also studied. It was found that groups could have significant effect on self-organization of the crowd. The results in the paper could be applied in modelling pedestrian group decision and behaviour and analysing crowd dynamics.

References

Jia’an Xi, Xiaolei Zou, Zhuo Chen, Jiajun Huang, Multi-pattern of Complex Social Pedestrian Groups, Transportation Research Procedia 2, 2014: pp. 60-68.

Jiajun Huang, Xiao-lei Zou, Xiaoyi Qu, Jie Ma, Ruihua Xu. A Structure Analysis Method for Complex Social Pedestrian Groups with Symbol Expression and Relationship Matrix, Conference of Pedestrian Evacuation Dynamics 2016: pp. 283-289.

Francesco Zanlungo, Takayuki Kanda. Do walking pedestrians stabily interact inside a large group? Analysis of group and sub-group spatial structure. Proceedings of the Annual Meeting of the Cognitive Science Society 2013: pp. 3847-3852.

M. Moussaïd, N.Perozo, S. Garnier, D. Helbing, and G. Theraulaz The walking behaviour of pedestrian social groups and its impact on crowd dynamics. PLoS ONE, 2010, 5(4): e10047.

Xiaolei Zou, Xiaoyi Qu, Ruihua Xu. Data-driven modeling on spatial pattern and private space of pedestrian groups. Proceedings of The 11th International Conference of Chinese Transportation Professionals. 2011: pp. 2102-2108.

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Published

27.03.2020

How to Cite

Zou, X., Qu, X., & Xu, R. (2020). Experimental Study on Variation Strategies for Complex Social Pedestrian Groups in Conflict Conditions. Collective Dynamics, 5, 230–237. https://doi.org/10.17815/CD.2020.55

Issue

Section

Proceedings of Pedestrian and Evacuation Dynamics 2018