An evacuation guidance model for heterogeneous populations in large-scale pedestrian facilities with multiple exits

被引:5
作者
Chen, Liang [1 ]
Guo, Zhi-Liang [1 ]
Wang, Tao [2 ]
Li, Chuan-Yao [3 ]
Tang, Tie-Qiao [4 ]
机构
[1] Beijing Univ Technol, Beijing Key Lab Traff Engn, Beijing 100124, Peoples R China
[2] Tsinghua Univ, Sch Vehicle & Mobil, Beijing 100084, Peoples R China
[3] Cent South Univ, Sch Traff & Transportat Engn, Changsha 410075, Peoples R China
[4] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
Crowd evacuation; Guidance strategy; Heterogeneous population; Cellular automaton model; FIELD CELLULAR-AUTOMATON; CROWD EVACUATION; FLOW; SIMULATION; BEHAVIOR; DYNAMICS;
D O I
10.1016/j.physa.2023.128740
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This study proposes an evacuation guidance model for heterogeneous populations to investigate the effects of guidance strategies on the evacuation process in large-scale pedestrian facilities with multiple exits. The guidance model integrates an exit choice model and a microscopic pedestrian simulation model with discrete space representation. The exit choice model, considering the travel distance to each exit, the level of congestion and the movement speed of pedestrians, generates the allocation of exits to pedestrians. The microscopic simulation model depicts the pedestrian movements during the evacuation under guidance. Numerical simulations are conducted to evaluate the performance of the guidance strategy. Simulation results indicate that by balancing the time interval for sending evacuation instruction and the frequency of the target exit changes, better evacuation performance can be achieved. Comparison between two cases with and without instruction reveals that the performance of the guidance strategy is closely related to the pedestrian density level and the heterogeneous speeds of pedestrians. The evacuation performance is also affected by the compliance behavior and non-compliance behavior of pedestrians. The findings can provide theoretical suggestions for the effective management of crowd movement at large events.& COPY; 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:21
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