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[1] Chen Guohua, Zhou Xiaojing, Jin Sifu, Yao Peng, et al. Crowd evacuating simulation of different personalities with floor field cellular automata [J]. Journal of Southeast University (English Edition), 2023, 39 (4): 400-409. [doi:10.3969/j.issn.1003-7985.2023.04.009]
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Crowd evacuating simulation of different personalities with floor field cellular automata()
基于势能场元胞自动机的不同个性人群疏散仿真
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
39
Issue:
2023 4
Page:
400-409
Research Field:
Traffic and Transportation Engineering
Publishing date:
2023-12-20

Info

Title:
Crowd evacuating simulation of different personalities with floor field cellular automata
基于势能场元胞自动机的不同个性人群疏散仿真
Author(s):
Chen Guohua1;  Zhou Xiaojing2;  Jin Sifu2;  Yao Peng2
1School of Information Science and Engineering, Southeast University, Nanjing 210096, China
2School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
陈国华1;  周晓晶2;  金思甫2;  姚鹏2
1东南大学信息科学与工程学院, 南京 210096; 2东南大学仪器科学与工程学院, 南京 210096
Keywords:
pedestrian behavior;  crowd evacuation;  space-time network;  floor field cellular automata
行人行为;  人群疏散;  时空网络;  势能场元胞自动机
PACS:
U391.9
DOI:
10.3969/j.issn.1003-7985.2023.04.009
Abstract:
The floor field cellular automata(FFCA)model is employed for integrating the combined effects of crowd personalities and indoor environments on evacuation to simulate a crowd evacuation with different personalities. Herein, the space-time network diagrams of the environment in a crowd evacuation are constructed. A static floor field is established by computing the least travel cost path. According to their personalities, the evacuating crowd is divided into three categories. Each category is likely to use different strategies to find a balance between energy and time. Every pedestrian will choose a moving destination at each time step using the time-varying FFAC. Pedestrians continuously plan new routes or choose to wait until they reach the exits based on their decision-making mechanisms. Simulated studies are conducted in various complicated environments, including a multi-exit room, a classroom, and a subway. The evacuating crowd has a dense population of different personalities. Simulation results provide a novel tool for revealing the intrinsic connection between psychology, environment, and evacuation.
为了综合考虑人群个性和室内环境对疏散的综合影响, 采用势能场元胞自动机(FFCA)模型模拟混合有不同性格行人的疏散.该模型构建了人群疏散环境的时空网络图, 并通过计算最小运动消耗(LTC)路径建立静态势能场.疏散人群根据性格特征被分为3类, 每类人群都可能使用不同的策略来平衡疏散中的运动和时间消耗.在每个时间步, 每位行人都能根据随时变化的 FFAC模型选择下一个移动目标.行人会根据自己的决策机制不断规划新路线或选择等待, 直到到达出口.疏散模拟选择在不同的复杂疏散场景中进行, 如多出口房间、教室和地铁, 且疏散人群由不同性格的稠密人群混合而成.该研究为揭示行人心理、逃生环境与疏散行为之间的内在联系提供了一种新的方法.

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Memo

Memo:
Biographies: Chen Guohua(1972—), male, master, associate professor;Zhou Xiaojing(corresponding author), female, doctor, associate professor, xiaojingzhou@seu.edu.cn.
Foundation item: Foundation of Collective Intelligence & Collaboration Laboratory(No.QXZ23012201).
Citation: Chen Guohua, Zhou Xiaojing, Jin Sifu, et al.Crowd evacuating simulation of different personalities with floor field cellular automata[J].Journal of Southeast University(English Edition), 2023, 39(4):400-409.DOI:10.3969/j.issn.1003-7985.2023.04.009.
Last Update: 2023-12-20