Managing Emergency Traffic Evacuation With a Partially Random Destination Allocation Strategy: A Computational-Experiment-Based Optimization Approach
Managing Emergency Traffic Evacuation With a Partially Random Destination Allocation Strategy: A Computational-Experiment-Based Optimization Approach
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DOI：
10.1109/tits.2015.2399852
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发表时间：
2015-08
影响因子：
8.5
通讯作者：
Yisheng Lv;Xiqiao Zhang;Wenwen Kang;Y. Duan
中科院分区：
文献类型：
--
作者：
Yisheng Lv;Xiqiao Zhang;Wenwen Kang;Y. Duan
自然或人为灾害会造成巨大的生命和财产损失。对这些灾害的有效和广泛使用的响应和缓解策略之一是交通疏散。疏散目的地的选择是疏散交通规划和管理的关键。在本文中，我们提出了一个部分随机的目的地分配策略的疏散管理。我们提出了一种基于元模型的仿真优化方法来设计策略。该方法使用二次多项式作为元模型，在其中的度自由信赖域算法来解决所提出的模型。以北京市一个具有两种不同交通需求的路网为例，对所提方法的性能进行了评估。计算实验表明，所提出的方法可以产生一个良好的执行策略，从而减少网络的清除时间。
Natural or man-made disasters can cause huge losses of human life and property. One of the effective and widely used response and mitigation strategies for these disasters is traffic evacuation. Evacuation destination choice is critical in evacuation traffic planning and management. In this paper, we propose a partially random destination allocation strategy for evacuation management. We present a metamodel-based simulation optimization method to design the strategy. The proposed method uses a quadratic polynomial as a metamodel, within which a degree-free trust region algorithm is developed to solve the proposed model. The performance of the proposed method is evaluated based on a subnetwork of Beijing with two different traffic demands. Computational experiments demonstrate that the proposed method can yield a well-performed strategy, leading to reduced network clearance times.