An extended cost potential field cellular automata model considering behavior variation of pedestrian flow
Fang Guo,
Xingli Li,
Hua Kuang,
Yang Bai and
Huaguo Zhou
Physica A: Statistical Mechanics and its Applications, 2016, vol. 462, issue C, 630-640
Abstract:
The original cost potential field cellular automata describing normal pedestrian evacuation is extended to study more general evacuation scenarios. Based on the cost potential field function, through considering the psychological characteristics of crowd under emergencies, the quantitative formula of behavior variation is introduced to reflect behavioral changes caused by psychology tension. The numerical simulations are performed to investigate the effects of the magnitude of behavior variation, the different pedestrian proportions with different behavior variation and other factors on the evacuation efficiency and process in a room. The spatiotemporal dynamic characteristic during the evacuation process is also discussed. The results show that compared with the normal evacuation, the behavior variation under an emergency does not necessarily lead to the decrease of the evacuation efficiency. At low density, the increase of the behavior variation can improve the evacuation efficiency, while at high density, the evacuation efficiency drops significantly with the increasing amplitude of the behavior variation. In addition, the larger proportion of pedestrian affected by the behavior variation will prolong the evacuation time.
Keywords: Pedestrian flow; Cost potential function field; Behavior variation; Cellular automaton; Evacuation time (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (7)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:462:y:2016:i:c:p:630-640
DOI: 10.1016/j.physa.2016.06.103
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