Modeling Human Evacuating Behavior in Limited Space Based on Cellular Automata Model

Author:

Li Zhihong1ORCID,Wen Yanjie1,Zhao Li2ORCID,Dong Yang1

Affiliation:

1. Beijing Advanced Innovation Center for Future Urban Design, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

2. China Academy of Urban Planning and Design, Beijing 100044, China

Abstract

The study of evacuation for buildings with limited space is an important part of improving evacuation efficiency and preventing stampedes. A building evacuation model was proposed based on cellular automata simulation considering different crowd states. Different flow sizes under layout environments with the same facilities as well as evacuation efficiency, bottleneck area density, and escape routes choice under the orderly and disorderly distribution conditions have also been analyzed. The results show that the initial disorderly distribution state is superior to the orderly distribution state in terms of the evacuation efficiency index. The former provides evacuees with maximum room for the corridor and the exit, with the overall evacuation density being lower than that of the latter. Evacuation along the central corridor provides more room compared to that of the two flanks, which explains why evacuees prefer to occupy the central area when space is limited, and this is detrimental to the moving capacity.

Funder

Beijing University of Civil Engineering and Architecture

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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1. A Guided Cellular Automaton Model for Optimizing Navigation Path in Hospital;2024 7th International Conference on Artificial Intelligence and Big Data (ICAIBD);2024-05-24

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3. Simulation of Crowd Evacuation Behaviours at Subway Stations under Panic Emotion;International Journal of Simulation Modelling;2023-12-01

4. A study of evacuation model based on personnel vision change;Journal of Intelligent & Fuzzy Systems;2023-04-03

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