基于改进元胞自动机的城市区域疏散时序规划模型研究
Research on time series planning model of urban regional evacuation based on improved cellular automata
熊斯捷 1吕伟 1汪京辉 1邓方蔚 1杨晓婷1
作者信息
- 1. 武汉理工大学安全科学与应急管理学院,湖北 武汉 430070
- 折叠
摘要
为解决灾前城市大规模人群有效疏散的难题,考虑实际路网、人口等因素对疏散的影响对传统元胞自动机疏散模型进行改进,构建以各疏散组整体疏散时间最短且不发生拥堵为目标的城市区域疏散时序规划模型,并选取武汉市某滨江地区进行疏散仿真模拟以验证突出模型的有效性与适用性.研究结果表明:提出的模型可以显著减少各疏散组的整体疏散时间和道路拥堵概率,同时得到具体的分阶段疏散方案.研究结果可为制定城市大灾巨灾的应对预案、构建灾害情景等工作提供参考.
Abstract
In order to solve the problem of effective evacuation of large-scale urban crowds before the disaster,the traditional cellular automata evacuation model was improved by considering the influence of actual road network,population and other factors on evacuation.A time series planning model of urban regional evacuation was constructed with the goal of minimizing the overall evacuation time of each evacuation group and avoiding congestion,and a certain riverside area in Wuhan was se-lected for evacuation simulation to verify the effectiveness and applicability of the prominent model.The results show that the proposed model can significantly reduce the overall evacuation time and road congestion probability of each evacuation group,and obtain specific staged evacuation schemes at the same time.The research results can provide reference for the develop-ment of urban disaster response plans and the construction of disaster scenarios.
关键词
城市公共安全/分阶段疏散/元胞自动机/规划模型Key words
urban public safety/staged evacuation/cellular automata/planning model引用本文复制引用
出版年
2024
NETL
NSTL
万方数据