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Operations Research Transactions >

2023 , Vol. 27 >Issue 2: 110 - 124

DOI: https://doi.org/10.15960/j.cnki.issn.1007-6093.2023.02.007

Analysis of travel behavior and optimization of parking fare in a commute corridor with park and ride-sharing

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  • 1. School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, Anhui, China
    2. Engineering Research Center for Intelligent Transportation and Cooperative Vehicle-Infrastructure of Anhui Province, Hefei 230009, Anhui, China

Received date: 2022-08-31

  Online published: 2023-06-13

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Abstract

Ride-sharing can effectively alleviate traffic congestion and parking pressure by improving the utilization of vehicle seat capacity and reducing the number of traffic travels. Considering setting parking and ride-sharing meeting points, a traffic management scheme for a linear monocentric city was proposed. Under the situation of parking and ride-sharing, the travel costs of solo driver, ride-sharing driver and ridesharing passenger were analyzed, and a route choice model based on stochastic user equilibrium was constructed. A bi-level programming model was proposed to minimize the total travel cost by optimizing the ride-sharing parking charge. Based on the method of sensitivity analysis, the Frank-Wolfe and BFGS algorithms were applied respectively to solve the proposed bi-level programming model. Finally, the results of numerical analysis show the effectiveness of the proposed model and algorithm.

Key words： park and ride-sharing; ride-sharing parking fare optimization; bi-level programming; stochastic user equilibrium; sensitivity analysis

Cite this article

Jiancheng LONG, Xinyi ZHANG, Jianxun DING . Analysis of travel behavior and optimization of parking fare in a commute corridor with park and ride-sharing[J]. Operations Research Transactions, 2023 , 27(2) : 110 -124 . DOI: 10.15960/j.cnki.issn.1007-6093.2023.02.007

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