社区应急疏散动态协作调度优化研究

Research on the Dynamic Collaborative Scheduling Optimization for Community Evacuation

针对灾民数量和路网通行时间的动态性以及灾民疏散反应系数的随机性,本文提出了社区应急疏散协作调度优化流程,并以疏散灾民数量最大化和疏散成本最小化为目标,构建了社区应急疏散多种运输方式协作调度优化模型,并给出了求解该模型的改进多目标遗传算法。然后,论文使用Tansmodeler模拟社区应急疏散协作调度优化过程,加载疏散灾民动态需求和历史出行时间表,并对模型和算法进行验证。结果表明,该模型和算法可以在有效刻画疏散灾民数量和路网通行时间的基础上,为不同时刻的交通工具配置及疏散路径选取提供决策。

In consideration of the temporal dynamics of evacuees and road network traffic time and the randomness of evacuation response parameter,the collaborative scheduling optimization process of community emergency evacuation was proposed.At the same time,the coordination scheduling optimization model with varieties of transportation tools was constructed and the multi-object algorithm was designed for community evacuation,which aims to hit the targets of evacuated victims maximizing and evacuation cost minimizing.Then,the collaborative scheduling optimization process of community emergency evacuation was simulated and tested with Tansmodeler software platform,during which the dynamic evacuees demand and road network traveling time table were loaded in real time.Results show that there are different evacuees demand and road network transit-time and the proposed process,model and algorithm can provide decision-making in real time for the planning of transportation tools and the selection of evacuation routs according to dynamic evacuee quantity and road network transit-time.