Lane-based multi-class vehicle collaborative evacuation management
Lane-based multi-class vehicle collaborative evacuation management
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DOI：
10.1080/21680566.2021.1985008
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发表时间：
2021-10
期刊：
影响因子：
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通讯作者：
Jialin Liu;Rui Jiang;Xingang Li;B. Jia;Zheng Liu;M. Bouadi
中科院分区：
文献类型：
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作者：
Jialin Liu;Rui Jiang;Xingang Li;B. Jia;Zheng Liu;M. Bouadi
混合交通疏散管理被认为是一项关键且具有挑战性的任务。本文开发了一个双层模型来解决多类车辆协同疏散问题。上层程序是混合整数非线性规划（MINLP）模型，根据车队规模确定最佳车道分配方案。下层程序被制定为多个独立系统最优动态流量分配（SO-DTA）问题来加载混合流量。提出了一种结合分支定界算法的两层求解方法来求解该模型。最后，将优化模型应用于小型网络和现实网络中。结果表明：（1）在中等需求水平下，多级车辆协同的疏散性能优于单级车辆； （2）该模型实现了疏散需求、车队规模和路网容量之间的耦合； (3)大规模疏散时应首先为公交车分配最短路径。
Mixed traffic evacuation management is recognized as a critical and challenging task. This paper develops a bi-level model to address the multi-class vehicle collaborative evacuation problem. The upper-level program is a mixed-integer nonlinear programming (MINLP) model to determine the optimal lane allocation scheme according to the fleet size. The lower-level program is formulated as multiple independent system optimal dynamic traffic assignment (SO-DTA) problems to load mixed traffic flow. A two-layer solution method integrating branch-and-bound algorithm is developed to solve the model. Finally, the optimization model is applied in a small network and a real-world network. Results demonstrate that (1) the evacuation performance of multi-class vehicle collaboration is better than that of single-class vehicles under the medium demand levels; (2) the proposed model realizes the coupling among evacuation demand, fleet size, and road network capacity; (3) the shortest path should first be allocated to the bus during a mass evacuation.