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基于改进Dijkstra算法的人群反馈调节疏散
引用本文:任少强,汪一鸣.基于改进Dijkstra算法的人群反馈调节疏散[J].计算机系统应用,2022,31(1):279-285.
作者姓名:任少强  汪一鸣
作者单位:苏州大学, 苏州 215031,合芯科技有限公司, 广州 511365
基金项目:苏州市公安局苏州工业园区分局项目(SZYX2018-Y-C-002)
摘    要:针对苏州市金鸡湖城市广场在突发情况下的人群疏散问题,建立了基于实时动态的疏散网络路径规划模型,分析了大型公众区域复杂环境对人群疏散效率的影响.同时提出以人群逃离危险区域的终止时间作为权值参数改进Dijkstra算法,并且利用反馈补偿机制合理分配各出口的疏散人数,实现人群疏散的动态调整和路径规划.通过Pathfinder...

关 键 词:Dijkstra  人群疏散  Pathfinder  路径规划  反馈调节
收稿时间:2021/3/11 0:00:00
修稿时间:2021/4/7 0:00:00

Dynamic Crowd Evacuation with Improved Dijkstra Algorithm
REN Shao-Qiang,WANG Yi-Ming.Dynamic Crowd Evacuation with Improved Dijkstra Algorithm[J].Computer Systems& Applications,2022,31(1):279-285.
Authors:REN Shao-Qiang  WANG Yi-Ming
Affiliation:Soochow University, Suzhou 215031, China; He Xin Technology Co. Ltd., Guangzhou 511365, China
Abstract:To address the crowd evacuation problem at Jinji Lake city square in Suzhou under emergencies, this study builds a real-time dynamic planning model of evacuation network paths and analyzes the influence of complex environments in a large public area on crowd evacuation efficiency. Meanwhile, the Dijkstra algorithm is improved with the time of the crowd escaping from the dangerous area as the weight and the number of people evacuating from each exit is rationally set by the feedback compensation mechanism to realize the dynamic adjustment and path planning of crowd evacuation. The improved algorithm is verified by Pathfinder simulation, which shows that planning the crowd to escape from specific exits in advance is conducive to achieving better crowd evacuation and thus ensuring the safety of life and property under emergencies.
Keywords:Dijkstra  crowd evacuation  Pathfinder  path planning  feedback regulation
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