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EMU Route Plan Optimization by Integrating Trains from Different Periods

Author

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  • Wenjun Li

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

  • Peng Liu

    (School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, China)

Abstract

In recent years, the government of China has paid increasing attention to environmental protection issues and has frequently emphasized the importance of ecological civilization. The high-speed railway transportation mode has outstanding advantages in terms of land utilization, energy conservation and environmental protection. China’s high-speed railway networking features are increasingly prominent and are constructed based on the rapid passenger transport network. Additionally, they save resources and are environmentally friendly while meeting safety, punctuality and profitability standards. Electric multiple unit (EMU) routing plan optimization is an important issue for improving operational EMU efficiency and reducing operational costs. At present, the Chinese EMU routing plans for holidays and weekdays are prepared separately because the holiday train timetable requires more EMUs and maintenance tasks. Different integrative optimization measures are considered, and a model is constructed to integrate an optimized weekday and holiday EMU routing plan problem and minimize the EMUs used and EMU maintenance tasks. The proposed model is based on the branch-and-price algorithm, and a real-world case study is conducted. The real-world numerical experiment shows that the amount of EMU maintenance can be reduced to some extent through the integrated optimization of tasks, but it is difficult to reduce the number of EMUs due to the structure of the train operational timetable.

Suggested Citation

  • Wenjun Li & Peng Liu, 2022. "EMU Route Plan Optimization by Integrating Trains from Different Periods," Sustainability, MDPI, vol. 14(20), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13457-:d:946347
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    References listed on IDEAS

    as
    1. Wang, Yihui & D’Ariano, Andrea & Yin, Jiateng & Meng, Lingyun & Tang, Tao & Ning, Bin, 2018. "Passenger demand oriented train scheduling and rolling stock circulation planning for an urban rail transit line," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 193-227.
    2. Keji Wei & Vikrant Vaze, 2020. "Airline Timetable Development and Fleet Assignment Incorporating Passenger Choice," Transportation Science, INFORMS, vol. 54(1), pages 139-163, January.
    3. 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.
    4. Canca, David & Barrena, Eva, 2018. "The integrated rolling stock circulation and depot location problem in railway rapid transit systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 115-138.
    5. Cheng, Yung-Hsiang & Tsao, Hou-Lei, 2010. "Rolling stock maintenance strategy selection, spares parts' estimation, and replacements' interval calculation," International Journal of Production Economics, Elsevier, vol. 128(1), pages 404-412, November.
    6. Valentina Cacchiani & Alberto Caprara & Paolo Toth, 2019. "An Effective Peak Period Heuristic for Railway Rolling Stock Planning," Transportation Science, INFORMS, vol. 53(3), pages 746-762, May.
    7. Wenjun Li & Lei Nie & Tianwei Zhang, 2018. "Electric multiple unit circulation plan optimization based on the branch-and-price algorithm under different maintenance management schemes," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
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