Consistent evolution in a pedestrian flow

Junbiao Guan and Kaihua Wang
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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

International Journal of Modern Physics C (IJMPC), 2016, vol. 27, issue 09, 1-10

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.

Keywords: Cellular automaton; snowdrift game theory; self-organization effect; human behavior; evacuation time (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1142/S0129183116501047

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