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Consistent evolution in a pedestrian flow

Author

Listed:
  • Junbiao Guan

    (School of Science, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, P. R. China)

  • Kaihua Wang

    (#x2020;School of Mathematics and Statistics, Hainan Normal University, Haikou, Hainan 571158, P. R. China)

Abstract

In this paper, pedestrian evacuation considering different human behaviors is studied by using a cellular automaton (CA) model combined with the snowdrift game theory. The evacuees are divided into two types, i.e. cooperators and defectors, and two different human behaviors, herding behavior and independent behavior, are investigated. It is found from a large amount of numerical simulations that the ratios of the corresponding evacuee clusters are evolved to consistent states despite 11 typically different initial conditions, which may largely owe to self-organization effect. Moreover, an appropriate proportion of initial defectors who are of herding behavior, coupled with an appropriate proportion of initial defectors who are of rationally independent thinking, are two necessary factors for short evacuation time.

Suggested Citation

  • Junbiao Guan & Kaihua Wang, 2016. "Consistent evolution in a pedestrian flow," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(09), pages 1-10, September.
    • Handle: RePEc:wsi:ijmpcx:v:27:y:2016:i:09:n:s0129183116501047
    DOI: 10.1142/S0129183116501047
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    Cited by:

    1. Guan, Junbiao & Wang, Kaihua, 2019. "Towards pedestrian room evacuation with a spatial game," Applied Mathematics and Computation, Elsevier, vol. 347(C), pages 492-501.
    2. Guan, Junbiao & Wang, Kaihua, 2020. "Cooperative evolution in pedestrian room evacuation considering different individual behaviors," Applied Mathematics and Computation, Elsevier, vol. 369(C).

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