Large-scale multimodal transportation network models and algorithms-Part I: The combined mode split and traffic assignment problem
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发表刊物：Transportation Research Part E: Logistics and Transportation Review
关键字：Multimodal transportation network; Combined mode split and traffic assignment; Park-and-ride; Large-scale network
摘要：Modelling the combined mode split and traffic assignment (CMSTA) problem is essential to capture the travelers’ behaviors and predict the flow distribution in multimodal transportation networks. In this paper, a general fixed-point model that combines the CNL-based mode split and the VI-based traffic assignment is developed to formulate the CMSTA problem in a more realistic multimodal network. The transit common line problem and asymmetric travel cost are considered. A new solution algorithm that integrated with several effective methods and strategies is proposed to solve the fixed-point model in large-scale networks. Numerical results show the effectiveness of the proposed model and algorithm.
合写作者：Haoxiang Liu,Yu Wang,Jiancheng Lon
第一作者：Yinchao Fan
论文类型：期刊论文
通讯作者：Jianxun Ding
学科门类：工学
文献类型：J
卷号：164
页面范围：102832
是否译文：否
发表时间：2022-08-01
收录刊物：SCI
发布期刊链接：https://doi.org/10.1016/j.tre.2022.102832
附件：
Large-scale multimodal transportation network models and algorithms-Part I.pdf