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考虑人口老龄化的地铁安全疏散仿真研究
引用本文:乔亚宁,石晓波,章绪淼,李昌运,翁亦恺,倪国栋.考虑人口老龄化的地铁安全疏散仿真研究[J].中国安全生产科学技术,2023,19(4):154-159.
作者姓名:乔亚宁  石晓波  章绪淼  李昌运  翁亦恺  倪国栋
作者单位:(1.中国矿业大学 力学与土木工程学院,江苏 徐州 221116;2.哈尔滨工业大学 土木工程学院,黑龙江 哈尔滨 150090;3.南京大学 工程管理学院,江苏 南京 210093)
基金项目:作者简介: 乔亚宁,博士,副教授,主要研究方向为土木基础设施系统韧性研究。
摘    要:为研究老龄化程度对地铁安全疏散的影响,基于人口统计学数据,运用多智能体仿真方法模拟2050年人口老龄化情况下徐州市某地铁站乘客疏散情况,并通过视觉智能识别方法验证仿真模型对地铁乘客疏散描述的准确性。研究结果表明:老龄化比例增加一定程度上会使疏散时间增加,老龄化比例对总体疏散时间的影响程度与疏散总人数有关,疏散总人数越低,随着老龄化比例的增加整体疏散时间显著增加。

关 键 词:地铁  老龄化  安全疏散  BIM  多智能体模型  目标检测与跟踪

Study of safety evacuation simulation in subway station considering population aging
QIAO Yaning,SHI Xiaobo,ZHANG Xumiao,LI Changyun,WENG Yikai,NI Guodong.Study of safety evacuation simulation in subway station considering population aging[J].Journal of Safety Science and Technology,2023,19(4):154-159.
Authors:QIAO Yaning  SHI Xiaobo  ZHANG Xumiao  LI Changyun  WENG Yikai  NI Guodong
Institution:(1.School of Mechanics and Civil Engineering,China University of Mining and Technology,Xuzhou Jiangsu 221116,China;2.School of Civil Engineering,Harbin Institute of Technology,Harbin Heilongjiang 150090,China;3.School of Management and Engineering,Nanjing University,Nanjing Jiangsu 210093,China)
Abstract:In order to study the influence of population aging degree on subway safety evacuation,the multi-agent simulation method was used to simulate the passengers evacuation of a subway station in Xuzhou under the condition of population aging in 2050 based on the demographic data,and the accuracy of the simulation model was verified by the visual intelligent recognition method.The results showed that the increase of the aging proportion would increase the evacuation time to a certain extent,and the influence of the aging proportion on the overall evacuation time was related to the total number of evacuation passengers.The lower the total number of evacuation passengers,the overall evacuation time increased significantly with the increase of the aging proportion.
Keywords:subway  aging  safety evacuation  building information modelling (BIM)  multi-agent model  object detection and tracking
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