A cellular automaton model for evacuation flow using game theory

Junbiao Guan, Kaihua Wang and Fangyue Chen

Physica A: Statistical Mechanics and its Applications, 2016, vol. 461, issue C, 655-661

Abstract: Game theory serves as a good tool to explore crowd dynamic conflicts during evacuation processes. The purpose of this study is to simulate the complicated interaction behavior among the conflicting pedestrians in an evacuation flow. Two types of pedestrians, namely, defectors and cooperators, are considered, and two important factors including fear index and cost coefficient are taken into account. By combining the snowdrift game theory with a cellular automaton (CA) model, it is shown that the increase of fear index and cost coefficient will lengthen the evacuation time, which is more apparent for large values of cost coefficient. Meanwhile, it is found that the defectors to cooperators ratio could always tend to consistent states despite different values of parameters, largely owing to self-organization effects.

Keywords: Evacuation time; Cellular automaton; Game theory; Self-organization effect (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:461:y:2016:i:c:p:655-661

DOI: 10.1016/j.physa.2016.05.062

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