Pedestrian evacuation model considering information transfer among individuals

doi:10.16265/j.cnki.issn1003-3033.2022.07.1498

Abstract

Abstract:

In order to study impacts of information transmission between pedestrians on their evacuation time within limited visual field, Dijkstra algorithm was used to improve static field of individuals familiar with environment, while the methods of dividing areas and introducing random field and guiding field were adopted to specify movement mode of those not familiar with environment, and information transmission rules were defined. Then, influencing mechanism of factors like pedestrian density, proportion of people familiar with environment, information transmission probability, information transmission range and pedestrian initial position distribution on evacuation process was discussed, and a model of human evacuation cellular automata considering information transmission was established. The results show that the information transmission between pedestrians can significantly promote evacuation, and increasing transmission probability and expanding transmission range can effectively reduce evacuation time. The probability, range, pedestrian density and spatial distribution of people familiar with environment jointly affect the overall evacuation time.

Key words: pedestrian evacuation, cellular automata, information transmission, limited vision, pedestrians familiar with environment

HUO Feizhou, LI Chao, LI Yufei, LYU Wei, TU Wenhao. Pedestrian evacuation model considering information transfer among individuals[J]. China Safety Science Journal, 2022, 32(7): 151-157.

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