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Zbl 1011.90011
Fang, Weifeng; Yang, Lizhong; Fan, Weicheng
Simulation of bi-direction pedestrian movement using a cellular automata model. (English)
[J] Physica A 321, No.3-4, 633-640 (2003). ISSN 0378-4371

Summary: A cellular automata model is presented to simulate the bi-direction pedestrian movement. The pedestrian movement is more complex than vehicular flow for the reason that people are more flexible than cars. Some special technique is introduced considering simple human judgment to make the rules more reasonable. Also the custom in the countries where the pedestrian prefer to walk on the right-hand side of the road are highlighted. By using the model to simulate the bi-direction pedestrian movement, the phase transition phenomena in pedestrian counter flow is presented. Furthermore, the introduction of back stepping breaks the deadlock at the relatively low pedestrian density. By studying the critical density of changing from freely moving state to jammed state with different system sizes and different probabilities of back stepping, we find the critical density increases as the probability of back stepping increases at the same system size. And with the increasing system size, the critical density decreases at the same probability of back stepping according to the scope of system size studied in this paper.

MSC 2000:: *90B20 Highway traffic
82C32 Neural nets

Keywords: simple human judgment; phase transition; critical density

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Zentralblatt MATH Berlin [Germany]