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Integrated Optimization of Rolling Stock Rotations for Intercity Railways

Author

Listed:
  • Ralf Borndörfer

    (Zuse Institute Berlin, 14195 Berlin, Germany)

  • Markus Reuther

    (Zuse Institute Berlin, 14195 Berlin, Germany)

  • Thomas Schlechte

    (Zuse Institute Berlin, 14195 Berlin, Germany)

  • Kerstin Waas

    (Deutsche Bahn Fernverkehr AG, 60326 Frankfurt, Germany)

  • Steffen Weider

    (Zuse Institute Berlin, 14195 Berlin, Germany)

Abstract

This paper proposes a highly integrated solution approach for rolling stock planning problems in the context of long distance passenger traffic between cities. The main contributions are a generic hypergraph-based mixed-integer programming model for the considered rolling stock rotation problem and an integrated algorithm for its solution. The newly developed algorithm is able to handle a large spectrum of industrial railway requirements, such as vehicle composition, maintenance constraints, infrastructure capacities, and regularity aspects. We show that our approach has the power to produce rolling stock rotations that can be implemented in practice. In this way, the rolling stock rotations at the largest German long distance operator Deutsche Bahn Fernverkehr AG could be optimized by an automated system utilizing advanced mathematical programming techniques.

Suggested Citation

  • Ralf Borndörfer & Markus Reuther & Thomas Schlechte & Kerstin Waas & Steffen Weider, 2016. "Integrated Optimization of Rolling Stock Rotations for Intercity Railways," Transportation Science, INFORMS, vol. 50(3), pages 863-877, August.
    • Handle: RePEc:inm:ortrsc:v:50:y:2016:i:3:p:863-877
    DOI: 10.1287/trsc.2015.0633
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Zhong, Qingwei & Lusby, Richard M. & Larsen, Jesper & Zhang, Yongxiang & Peng, Qiyuan, 2019. "Rolling stock scheduling with maintenance requirements at the Chinese High-Speed Railway," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 24-44.
    2. Frisch, Sarah & Hungerländer, Philipp & Jellen, Anna & Primas, Bernhard & Steininger, Sebastian & Weinberger, Dominic, 2021. "Solving a real-world Locomotive Scheduling Problem with Maintenance Constraints," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 386-409.
    3. Hoogervorst, R. & Dollevoet, T.A.B. & Maróti, G. & Huisman, D., 2019. "A Variable Neighborhood Search Heuristic for Rolling Stock Rescheduling," Econometric Institute Research Papers EI2019-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Hoogervorst, R. & Dollevoet, T.A.B. & Maróti, G. & Huisman, D., 2018. "Reducing Passenger Delays by Rolling Stock Rescheduling," Econometric Institute Research Papers EI2018-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Joris C. Wagenaar & Leo G. Kroon & Marie Schmidt, 2017. "Maintenance Appointments in Railway Rolling Stock Rescheduling," Transportation Science, INFORMS, vol. 51(4), pages 1138-1160, November.
    6. Lin, Boliang & Zhao, Yinan, 2021. "Synchronized optimization of EMU train assignment and second-level preventive maintenance scheduling," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    7. Lin, Boliang & Shen, Yaoming & Wang, Zhongkai & Ni, Shaoquan & Zhao, Yinan, 2023. "An iterative improvement approach for high-speed train maintenance scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 173(C), pages 292-312.
    8. Gao, Yuan & Xia, Jun & D’Ariano, Andrea & Yang, Lixing, 2022. "Weekly rolling stock planning in Chinese high-speed rail networks," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 295-322.
    9. Gao, Yuan & Schmidt, Marie & Yang, Lixing & Gao, Ziyou, 2020. "A branch-and-price approach for trip sequence planning of high-speed train units," Omega, Elsevier, vol. 92(C).

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