Study on Evacuation Cellular Automaton Model Considering Avoidance Behavior

Authors

Yinghua Song, 1. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;;2. Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan 430070, China;;3. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
Zhang Yu, 1. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;;2. Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan 430070, China;;3. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
Feizhou Huo, 1. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;;2. Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan 430070, China;;3. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
Lü Wei, 1. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;;2. Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan 430070, China;;3. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;
Yaping Ma, 1. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China;;2. Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan 430070, China;;3. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China;

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.

Recommended Citation

Song, Yinghua; Yu, Zhang; Huo, Feizhou; Wei, Lü; and Ma, Yaping (2020) "Study on Evacuation Cellular Automaton Model Considering Avoidance Behavior," Journal of System Simulation: Vol. 32: Iss. 6, Article 1.
DOI: 10.16182/j.issn1004731x.joss.20-0195
Available at: https://dc-china-simulation.researchcommons.org/journal/vol32/iss6/1

First Page

975

Revised Date

2020-05-27

DOI Link

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

Last Page

981

CLC

X956

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.20-0195