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Urban Rail Transit Rolling Stock Scheduling Optimization with Shared Depot

Author

Listed:
  • Jia Feng

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China
    Intergrated Transport Research Center of China, Beijing Jiaotong University, Beijing 100044, China)

  • Guowei Li

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China
    Intergrated Transport Research Center of China, Beijing Jiaotong University, Beijing 100044, China)

  • Yuxin Shi

    (Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China
    Intergrated Transport Research Center of China, Beijing Jiaotong University, Beijing 100044, China)

  • Zhengzhong Li

    (Tianjin Transportation Research Institute, Tianjin 300074, China)

  • Shanshan Liu

    (Yunnan Jingjian Rail Transit Investment and Construction Co., Ltd., Kunming 650500, China)

Abstract

This paper presents a coordinated model to optimize the rolling stock scheduling of two urban rail transit lines with a shared train depot. The proposed integrated and extended integrated optimization problems are transformed into mixed integer linear programming (MILP) problems, which can be efficiently solved by an ant colony optimization algorithm. Numerical examples based on the Beijing Subway System are implemented to demonstrate the performance of the proposed models and solution approach.

Suggested Citation

  • Jia Feng & Guowei Li & Yuxin Shi & Zhengzhong Li & Shanshan Liu, 2022. "Urban Rail Transit Rolling Stock Scheduling Optimization with Shared Depot," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:22:p:15075-:d:972487
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    References listed on IDEAS

    as
    1. Lin, Zhiyuan & Kwan, Raymond S.K., 2016. "A branch-and-price approach for solving the train unit scheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 97-120.
    2. Dennis Huisman & Leo G. Kroon & Ramon M. Lentink & Michiel J. C. M. Vromans, 2005. "Operations Research in passenger railway transportation," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 59(4), pages 467-497, November.
    3. Fioole, Pieter-Jan & Kroon, Leo & Maroti, Gabor & Schrijver, Alexander, 2006. "A rolling stock circulation model for combining and splitting of passenger trains," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1281-1297, October.
    4. Wang, Yihui & Tang, Tao & Ning, Bin & Meng, Lingyun, 2017. "Integrated optimization of regular train schedule and train circulation plan for urban rail transit lines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 83-104.
    5. Haahr, Jørgen & Lusby, Richard M., 2017. "Integrating rolling stock scheduling with train unit shunting," European Journal of Operational Research, Elsevier, vol. 259(2), pages 452-468.
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    Cited by:

    1. Qin Song, 2023. "Semi-Open Multi-Distribution Center Path Planning with Time Windows," Sustainability, MDPI, vol. 15(6), pages 1-14, March.

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