Collaborative Optimal Train Carriage Flexible Release Strategy and Passenger Flow Control Strategy for the Metro System.

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Title: Collaborative Optimal Train Carriage Flexible Release Strategy and Passenger Flow Control Strategy for the Metro System.
Authors: Zhong, Jinyang1 (AUTHOR), Huang, Hao1 (AUTHOR), Pan, Jinyi2 (AUTHOR), Liu, Lan1,3 (AUTHOR), Shi, Yibo1 (AUTHOR) shiyibo@my.swjtu.edu.cn, Liebchen, Christian (AUTHOR) liebchen@th-wildau.de
Source: Journal of Advanced Transportation. 11/14/2025, Vol. 2025, p1-26. 26p.
Subjects: Mixed integer linear programming, Subways, Passenger traffic, Railroad cars, Optimization algorithms, Mathematical optimization
Geographic Terms: Chengdu (China)
Abstract: In the oversaturated metro system, the mismatch between supply and demand leads to unequal allocation of train capacity at different stations, resulting in a transportation inequity issue. This paper proposes a collaborative optimization method to use train carriage flexible release strategy and passenger flow control strategy, which is described as a mixed‐integer nonlinear programming (MINLP) model considering the trade‐off between equity and efficiency. To solve this model, it is reformulated into a mixed‐integer linear programming (MILP) model, which is solved by the GUROBI solver. An efficient variable neighborhood search algorithm is then proposed to find a high‐quality solution to the proposed problem. Finally, two sets of numerical experiments, including a small‐scale case and a real‐world case of Chengdu metro system, are conducted to verify the proposed model. The experimental results show that the train release scheme and passenger flow control scheme generated by our proposed method can perform well on the trade‐off between equity and efficiency. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="DE" term="%22Mixed+integer+linear+programming%22">Mixed integer linear programming</searchLink><br /><searchLink fieldCode="DE" term="%22Subways%22">Subways</searchLink><br /><searchLink fieldCode="DE" term="%22Passenger+traffic%22">Passenger traffic</searchLink><br /><searchLink fieldCode="DE" term="%22Railroad+cars%22">Railroad cars</searchLink><br /><searchLink fieldCode="DE" term="%22Optimization+algorithms%22">Optimization algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink>
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  Data: In the oversaturated metro system, the mismatch between supply and demand leads to unequal allocation of train capacity at different stations, resulting in a transportation inequity issue. This paper proposes a collaborative optimization method to use train carriage flexible release strategy and passenger flow control strategy, which is described as a mixed‐integer nonlinear programming (MINLP) model considering the trade‐off between equity and efficiency. To solve this model, it is reformulated into a mixed‐integer linear programming (MILP) model, which is solved by the GUROBI solver. An efficient variable neighborhood search algorithm is then proposed to find a high‐quality solution to the proposed problem. Finally, two sets of numerical experiments, including a small‐scale case and a real‐world case of Chengdu metro system, are conducted to verify the proposed model. The experimental results show that the train release scheme and passenger flow control scheme generated by our proposed method can perform well on the trade‐off between equity and efficiency. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Advanced Transportation is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1155/atr/9971176
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 26
        StartPage: 1
    Subjects:
      – SubjectFull: Mixed integer linear programming
        Type: general
      – SubjectFull: Subways
        Type: general
      – SubjectFull: Passenger traffic
        Type: general
      – SubjectFull: Railroad cars
        Type: general
      – SubjectFull: Optimization algorithms
        Type: general
      – SubjectFull: Mathematical optimization
        Type: general
      – SubjectFull: Chengdu (China)
        Type: general
    Titles:
      – TitleFull: Collaborative Optimal Train Carriage Flexible Release Strategy and Passenger Flow Control Strategy for the Metro System.
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            NameFull: Zhong, Jinyang
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            NameFull: Huang, Hao
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            NameFull: Pan, Jinyi
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            NameFull: Liu, Lan
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            NameFull: Shi, Yibo
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              Text: 11/14/2025
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              Y: 2025
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