Metro lines in megacities often experience extreme congestion during peak hours, causing passengers to strand on platforms and pose serious operational risks. This paper formulates a mixed-integer nonlinear programming model (MINP) for the train scheduling and passenger flow control coordination problem with adjustable dwell time on overcrowded metro lines. It can offer a service-oriented schedule plan and implements the effective passenger flow control strategy to reduce platform congestion while maintaining transportation capacity. By employing a linearization method, this paper transformes the proposed model into a linear program that can be efficiently solved via Gurobi. Finally, numerical experiments show that the total waiting time of passengers is reduced by 40.8%, which can effectively reduce rail traffic congestion, and verify the effectiveness of the model.


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    Title :

    Collaborative Optimization of Train Scheduling and Passenger Flow Control with Adjustable Dwell Time on a Congested Metro Line


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Qin, Yong (editor) / Jia, Limin (editor) / Yang, Jianwei (editor) / Diao, Lijun (editor) / Yao, Dechen (editor) / An, Min (editor) / Wu, Zhengjie (author) / Yang, Kai (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023



    Publication date :

    2024-02-03


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English