@article{ref1,
title="Lane-based multi-class vehicle collaborative evacuation management",
journal="Transportmetrica B: transport dynamics",
year="2021",
author="Liu, Jialin and Jiang, Rui and Li, Xingang and Jia, Bin and Liu, Zheng and Bouadi, Marouane",
volume="ePub",
number="ePub",
pages="ePub-ePub",
abstract="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. <br><br>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.<p /> <p>Language: en</p>",
language="en",
issn="2168-0566",
doi="10.1080/21680566.2021.1985008",
url="http://dx.doi.org/10.1080/21680566.2021.1985008"
}