@article{ref1,
title="Optimization of skip-stop strategy for urban rail transit considering passenger flow aggregation risk",
journal="China safety science journal (CSSJ)",
year="2022",
author="Wu, H. and Hou, C. and Li, S. and Tan, H.",
volume="32",
number="6",
pages="157-162",
abstract="Aiming at the problem of passenger flow aggregation risk at the platform of urban rail transit system, the platform risk level and risk threshold are defined. Taking maximizing the sum of risk levels of train parking stations and minimizing the train operation intervals as the planning objectives, based on the risk threshold, the constraint conditions that meet the basic operation of a single train, the multi-train tracking conditions and passenger travel requirements were set, and a bi-objective programming model for the skip-stop strategy is established. Finally, an iterative algorithm with hierarchical sequence method as the core is used to solve the model, and the model is verified by an example. The results show that the capacity of the skip-stop strategy obtained from the optimization model to solve the risk of passenger flow aggregation on the line platform is increased by 66. 7%, and the rail line capacity is increased by 10. 5% compared with that of the conventional scheme. The optimization strategy can solve the overall risk problem of the line platform while meeting the travel requirements of passengers. © 2022 China Safety Science Journal. All rights reserved.<p /><p>Language: zh</p>",
language="zh",
issn="1003-3033",
doi="10.16265/j.cnki.issn1003-3033.2022.06.1188",
url="http://dx.doi.org/10.16265/j.cnki.issn1003-3033.2022.06.1188"
}