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动态不确定性环境下的地铁车站应急疏散仿真建模
引用本文:黄家骏,徐瑞华,洪玲,黄肇红. 动态不确定性环境下的地铁车站应急疏散仿真建模[J]. 交通运输系统工程与信息, 2018, 18(2): 164-170
作者姓名:黄家骏  徐瑞华  洪玲  黄肇红
作者单位:1. 同济大学 道路与交通工程教育部重点实验室,上海 201804; 2. 广州地铁集团有限公司 线网管控中心客运管理部,广州 510000
基金项目:国家自然科学基金/National Natural Science Foundation of China(71271153);中央高校基本科研业务费专项资金/ Fundamental Research Funds for the Central Universities(22120170239);城市轨道交通系统安全与运维保障国家工程实验室项目/Funds of National Engineering Laboratory for System Safety and Operation Assurance of Urban Rail Transit(16A0058).
摘    要:针对动态不确定环境下乘客初始状态、疏散行为、全局疏散路径不确定等问题,提出基于Agent的疏散行为动态切换模型,并引入选择变更代价实现了多种疏散行为的动态切换;考虑与常态仿真衔接构建疏散空间衔接关系,并提出基于改进Dijkstra算法的全局疏散路径搜索方法;最后,以某车站突发事故场景为例进行多个应急预案的仿真评估.结果验证模型具有可行性,并能更真实反映动态不确定环境对乘客疏散过程的影响,进一步提高了疏散仿真精度.

关 键 词:城市交通  应急疏散仿真  智能体  动态不确定  路径搜索  
收稿时间:2017-11-23

Simulation Model of Evacuation Process in Metro Station under Dynamic and Uncertain Environment
HUANG Jia-jun,XU Rui-hua,HONG Ling,HUANG Zhao-hong. Simulation Model of Evacuation Process in Metro Station under Dynamic and Uncertain Environment[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(2): 164-170
Authors:HUANG Jia-jun  XU Rui-hua  HONG Ling  HUANG Zhao-hong
Affiliation:1. Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China; 2. Department of Passenger Transport in Network Operations Management Command Center, Guangzhou Metro Group Co., Ltd., Guangzhou 510000, China
Abstract:The dynamic and uncertain environment will cause the uncertainty of the initial status of passengers, evacuation behavior, and the global evacuation path. Considering those problems mentioned above, an agent-based model of dynamic evacuation behavior switch is established, which is able to describe passengers’ switch from various evacuation behaviors with the cost of change. On the other hand, according to the spatial cohesion from the normal simulation, the approach for global path finding based on optimized Dijkstra algorithm is proposed. Finally, simulation on emergency evacuation is conducted in the case of a particular metro station. The result validates that the model is feasible and can reflect environmental effects on passengers’evacuation process dynamically. Meanwhile, the simulation precision is further improved, which enables to evaluate emergency plan with accuracy.
Keywords:urban traffic  emergency evacuation simulation  Agent  dynamic and uncertain  path finding  
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