With the rapid development of China’s high-speed railway, the ticket fare structure of high-speed trains is an urgent need of intelligent optimization. A reasonable fare scheme should maximize the revenue of Railway Company, at the same time balancing passengers’ choice behavior. This paper applies bi-level programming to deal with this ticket fare optimization problem. A bi-level programming model is built first, of which the upper level programming is the revenue maximization problem, and the lower level programming is the elastic-demand network flow equilibrium problem. Then, a heuristic algorithm based on sensitivity analysis is proposed to solve the model. At last, the actual case and data is applied to verify our method.


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    Title :

    Intelligent Optimization of Ticket Fare for China High-Speed Railway


    Contributors:
    Zheng, Jinzi (author) / Liu, Jun (author) / Li, Ping (author)

    Conference:

    19th COTA International Conference of Transportation Professionals ; 2019 ; Nanjing, China


    Published in:

    CICTP 2019 ; 5247-5256


    Publication date :

    2019-07-02




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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