Lane-based multi-class vehicle collaborative evacuation management. Transportmetrica B, 10, 184–206.
点击次数：
影响因子：2.8
发表刊物：Transportmetrica B
摘要：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.
合写作者：J. Liu, R. Jiang, X. Li, B. Jia, Z. Liu, M. Bouadi
论文类型：期刊论文
论文编号：184-206
卷号：10
是否译文：否
发表时间：2021-10-13
收录刊物：SCI、SSCI