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Receiving Routing Approach for Virtually Coupled Train Sets at a Railway Station

Author

Listed:
  • Yinggui Zhang

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China)

  • Qianying Xu

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China)

  • Runchuan Yu

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Minghui Zhao

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China)

  • Jiachen Liu

    (School of Traffic and Transportation Engineering, Central South University, Changsha 410017, China)

Abstract

Elaborated in several forms before being formally defined, virtually coupled train sets (VCTS) have become an issue for capacity increase with obvious shorter train intervals. As the station organization strategy is still ambiguous due to the lack of literature, the receiving routing problem for VCTS is studied in particular. First, the existing concept of VCTS is explained, which refers to the virtual connection of trains through safe and reliable communication technology, allowing short-interval collaborative operations without the need for physical equipment. Subsequently, the operating characteristics and receiving requirements are analyzed. With a summary of factors affecting receiving operations, a mathematical model is proposed with the objectives of minimizing operation duration and maximizing effectiveness, which is solved by an improved genetic algorithm (GA) with an elitist and adaptive strategy. Numerical tests are carried out 250 times based on a practical station and EMU parameters. The macro results show the valid pursuit of designed objectives with an average duration of 204.95 s and an efficiency of 91.76%. Microevolution of an optimal scheme indicates that safety requirements are met while the process duration is only 35.83% of the original CTCS-3 mode.

Suggested Citation

  • Yinggui Zhang & Qianying Xu & Runchuan Yu & Minghui Zhao & Jiachen Liu, 2023. "Receiving Routing Approach for Virtually Coupled Train Sets at a Railway Station," Mathematics, MDPI, vol. 11(9), pages 1-21, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:9:p:2002-:d:1130944
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    References listed on IDEAS

    as
    1. Hanxiao Zhou & Leishan Zhou & Bin Guo & Zixi Bai & Zeyu Wang & Lu Yang, 2021. "A Scheduling Approach for the Combination Scheme and Train Timetable of a Heavy-Haul Railway," Mathematics, MDPI, vol. 9(23), pages 1-29, November.
    2. Xue Lin & Caiqing Ma & Qianling Wang, 2023. "Dual Jitter Suppression Mechanism-Based Cooperation Control for Multiple High-Speed Trains with Parametric Uncertainty," Mathematics, MDPI, vol. 11(8), pages 1-16, April.
    3. Fei Lin & Shihui Liu & Zhihong Yang & Yingying Zhao & Zhongping Yang & Hu Sun, 2016. "Multi-Train Energy Saving for Maximum Usage of Regenerative Energy by Dwell Time Optimization in Urban Rail Transit Using Genetic Algorithm," Energies, MDPI, vol. 9(3), pages 1-21, March.
    4. Janusz Szkopiński & Andrzej Kochan, 2023. "Maximization of Energy Efficiency by Synchronizing the Speed of Trains on a Moving Block System," Energies, MDPI, vol. 16(4), pages 1-26, February.
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