As an effective transport mode, rail systems have been developing rapidly in recent years. A reasonable timetable not only enables passengers to have a better travel experience, but also saves the operating cost of subway companies. Therefore, the timetable design is the key to the reliability of subway services. Based on actual passenger flow, this paper develops a new bi-objective integer programming model with the objectives of minimizing the total passenger waiting time and the net energy consumption of trains simultaneously. To effectively solve the proposed model, a problem-specific non-dominated sorting genetic algorithm is proposed. A case study based on Metro Line 1 of Fuzhou, China, illustrates the effectiveness and efficiency of the proposed approach.


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    Title :

    Bi-Objective Subway Timetable Optimization Considering Changing Train Quality Based on Passenger Flow Data


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Wang, Wuhong (editor) / Chen, Yanyan (editor) / He, Zhengbing (editor) / Jiang, Xiaobei (editor) / Wang, Hanlei (author) / Wu, Peng (author) / Yao, Yuan (author) / Zhuo, Xingxuan (author)


    Publication date :

    2021-12-14


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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