基于改进Dijkstra算法的人群反馈调节疏散

Dynamic Crowd Evacuation with Improved Dijkstra Algorithm

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软件仿真验证算法的有效性,得出改进以时间为权值的Dijkstra算法和提前规划人群疏散特定出口,可以获得更优的人群疏散结果,从而保障疏散人群的生命财产安全.

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.