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首页> 外文期刊>Journal of advanced transportation >Strategic evacuation planning with pedestrian guidance and bus routing: a mixed integer programming model and heuristic solution
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Strategic evacuation planning with pedestrian guidance and bus routing: a mixed integer programming model and heuristic solution

机译:具有行人指南和公交路线的战略疏散计划:混合整数规划模型和启发式解决方案

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This paper presents a mathematical model to plan emergencies in a densely populated urban zone where a certain numbers of pedestrians depend on transit for evacuation. The proposed model features an integrated operational framework, which simultaneously guides evacuees through urban streets and crosswalks (referred to as a??the pedestrian networka??) to designated pickup points (e.g., bus stops), and routes a fleet of buses at different depots to those picka??up points and transports evacuees to their destinations or safe places. In this level, the buses are routed through the soa??called a??vehicular network.a?? An integrated mixed integer linear program that can effectively take into account the interactions between the aforementioned two networks is formulated to find the maximal evacuation efficiency in two networks. Because the large instances of the proposed model are mathematically difficult to solve to optimality, a twoa??stage heuristic is developed to solve larger instances of the model. Results from hundreds of numerical examples analysis indicate that proposed heuristic works well in providing (near) optimal or feasibly good solutions for mediuma??scale to largea??scale instances that may arise in real transita??based evacuation situations in a much shorter amount of computational time compared with cplex (can find optimal/feasible solutions for only five instances within 3a??hours of running). Copyright ?? 2016 John Wiley & Sons, Ltd.
机译:本文提出了一个数学模型,用于规划人口稠密的市区中的紧急情况,在该地区中,一定数量的行人依靠过境进行疏散。所提议的模型具有集成的操作框架,该框架可同时引导疏散人员通过城市街道和人行横道(称为“行人网络a”)到达指定的接送点(例如,公交车站),并在不同地点路由一组公交车到这些接载点的仓库,并将疏散人员运送到目的地或安全地点。在此级别上,总线通过称为“车载​​网络”的soa路由。制定了可以有效考虑上述两个网络之间相互作用的集成混合整数线性程序,以找到两个网络中的最大疏散效率。因为所提出的模型的大实例在数学上难以求解到最优,所以开发了一个两阶段启发式算法来求解模型的大实例。数百个数值示例分析的结果表明,所提出的启发式方法可以很好地提供(接近)最优的或可行的良好解决方案,以解决基于中转规模的实际疏散情况中可能发生的中型规模到大型规模实例的短得多的情况。与cplex相比计算时间的减少(可以在运行3a ??小时内为五个实例找到最佳/可行的解决方案)。版权?? 2016 John Wiley&Sons,Ltd.

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