Large-scale multimodal transportation network models and algorithms-Part I: The combined mode split and traffic assignment problem

Yinchao Fan, Jianxun Ding, Haoxiang Liu, Yu Wang and Jiancheng Long

Transportation Research Part E: Logistics and Transportation Review, 2022, vol. 164, issue C

Abstract: 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.

Keywords: Multimodal transportation network; Combined mode split and traffic assignment; Park-and-ride; Large-scale network (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (6)

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DOI: 10.1016/j.tre.2022.102832

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