Study on Evacuation Cellular Automaton Model Considering Avoidance Behavior

doi:10.16182/j.issn1004731x.joss.20-0195

Abstract

Abstract: To study the avoidance behavior in the evacuation process, a cellular automaton model considering avoidance behavior is established. The model divides the evacuees into avoiders and transferees, and reflects the avoidance behavior by changing the selected probability of evacuees. The impact of the avoidance behavior on the efficiency and evacuation process in different personnel ratios and different initial positions is analyzed. The results show that the avoidance behavior can optimize the evacuation sequence, improve the evacuation efficiency and reduce the risk of evacuation process. The evacuation time is significantly reduced when the probability of avoidance exceeds the thread value, and the larger the population density is, the smaller the threshold value becomes. When the transferee ratio is small, the effect of avoidance behavior is better, and the greater the probability of avoidance is, the more significant the effect becomes. The avoidance behaviors have different effects when the transferees are at different initial positions.

Key words: cellular automata, avoidance behavior, evacuation simulation, personnel ratio, position distribution

CLC Number:

X956

Song Yinghua, Zhang Yu, Huo Feizhou, Lü Wei, Ma Yaping. Study on Evacuation Cellular Automaton Model Considering Avoidance Behavior[J]. Journal of System Simulation, 2020, 32(6): 975-981.

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