Research on Modeling and Simulation of Crowd Evacuation Based on Emotional Infection

Konferenz: ISCTT 2021 - 6th International Conference on Information Science, Computer Technology and Transportation
26.11.2021 - 28.11.2021 in Xishuangbanna, China

Tagungsband: ISCTT 2021

Seiten: 4Sprache: EnglischTyp: PDF

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Li, Jiayang (College of Intelligent System Science and Engineering, Shenyang University, Dadong, Shenyang, China)
Wang, Siwen; Song, Fuchen (School of Information Engineering, Shenyang University, Dadong, Shenyang, China)

In recent years, public gathering places in big cities at home and abroad are facing severe security situation due to frequent emergencies. Emergency management is an important part of the national governance system and governance capabilities. It is of great practical significance to study the emergency evacuation of crowds under emergencies. In this paper, the dynamic field model of cellular automata is improved. The genetic factors in the previous dynamic field are improved into emotional dynamic field. A new cellular automata model based on emotional infection is established. The validity of the model was verified by simulation. On this basis, a supermarket in Tangshan was selected as a crowd emergency evacuation simulation scene. Through the simulation study of crowd emergency evacuation in this supermarket, the factors affecting crowd evacuation in emergency situations were analyzed and provided for relevant departments to formulate evacuation strategies in emergencies.