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清华大学学报(自然科学版)  2021, Vol. 61 Issue (6): 536-542    DOI: 10.16511/j.cnki.qhdxxb.2020.22.032
  防灾减灾 本期目录 | 过刊浏览 | 高级检索 |
基于多目标规划和智能体仿真的社区疏散方案
张晶, 陈涛, 黄丽达, 苏国锋, 孙占辉, 陈建国
清华大学 工程物理系, 安全科学与技术研究所, 北京 100084
Community evacuation scheme based on multi-objective programming and agent simulations
ZHANG Jing, CHEN Tao, HUANG Lida, SU Guofeng, SUN Zhanhui, CHEN Jianguo
Institute of Safety Science and Technology, Department of Engineering Physics, Tsinghua University, Beijing 100084, China
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摘要 快速疏散灾民是地震发生后短时间内的首要任务之一,提前规划避震场所、设计社区人员疏散方案能为灾后应急提供有效保障。该文提出了一种基于多目标规划和智能体仿真的社区人员疏散方案设计方法,综合考虑救援机构可达性、交通便利性、避震场所容纳能力等因素,基于多目标规划设计不同避震场所个数下的最优疏散方案,结合Pathfinder软件进行人员疏散行为仿真实验验证。结果表明:粒子群算法对求解避震场所选址和分配的多目标规划问题收敛性好,适用于快速建模计算;指定避震场所的疏散方案具有引导性,能大幅缓解自由疏散出现的“超载”现象,同时保障全员尽快抵达避震场所。
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张晶
陈涛
黄丽达
苏国锋
孙占辉
陈建国
关键词 避震场所选址疏散方案多目标规划Pathfinder    
Abstract:Residents need to be quickly evacuated from buildings after earthquakes. However, shelters need to be built in advance and community evacuation schemes need to be developed to provide effective emergency response after an earthquake. This paper presents a community evacuation scheme design method using multi-objective programming and agent simulations. The optimal evacuation schemes are developed based on the accessibility of rescue agencies, traffic conditions, shelter capacity and other factors based on various numbers of earthquake shelters using multi-objective programming with the evacuation behavior simulated using the Pathfinder software. The results show that the particle swarm optimization algorithm has good convergence for the multi-objective programming problem of location selection and allocation of earthquake shelters, and is suitable for quick modeling and calculation. The evacuation scheme of designated earthquake shelters is instructive, which can greatly alleviate the "overload" phenomenon of free evacuation scheme and ensure that all personnel can arrive at the shelters as soon as possible.
Key wordsearthquake emergency shelter location selection    evacuation scheme    multi-objective programming    Pathfinder
收稿日期: 2020-06-28      出版日期: 2021-04-28
基金资助:国家重点研发计划(2018YFC0810205,2018YFC0807000)
通讯作者: 陈涛,副研究员,E-mail:chentao.b@tsinghua.edu.cn      E-mail: chentao.b@tsinghua.edu.cn
作者简介: 张晶(1996-),女,博士研究生。
引用本文:   
张晶, 陈涛, 黄丽达, 苏国锋, 孙占辉, 陈建国. 基于多目标规划和智能体仿真的社区疏散方案[J]. 清华大学学报(自然科学版), 2021, 61(6): 536-542.
ZHANG Jing, CHEN Tao, HUANG Lida, SU Guofeng, SUN Zhanhui, CHEN Jianguo. Community evacuation scheme based on multi-objective programming and agent simulations. Journal of Tsinghua University(Science and Technology), 2021, 61(6): 536-542.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2020.22.032  或          http://jst.tsinghuajournals.com/CN/Y2021/V61/I6/536
  
  
  
  
  
  
  
  
  
  
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