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Train Stop Scheduling in a High-Speed Rail Network by Utilizing a Two-Stage Approach

Author

Listed:
  • Huiling Fu
  • Lei Nie
  • Benjamin R. Sperry
  • Zhenhuan He

Abstract

Among the most commonly used methods of scheduling train stops are practical experience and various “one-step” optimal models. These methods face problems of direct transferability and computational complexity when considering a large-scale high-speed rail (HSR) network such as the one in China. This paper introduces a two-stage approach for train stop scheduling with a goal of efficiently organizing passenger traffic into a rational train stop pattern combination while retaining features of regularity, connectivity, and rapidity (RCR). Based on a three-level station classification definition, a mixed integer programming model and a train operating tactics descriptive model along with the computing algorithm are developed and presented for the two stages. A real-world numerical example is presented using the Chinese HSR network as the setting. The performance of the train stop schedule and the applicability of the proposed approach are evaluated from the perspective of maintaining RCR.

Suggested Citation

  • Huiling Fu & Lei Nie & Benjamin R. Sperry & Zhenhuan He, 2012. "Train Stop Scheduling in a High-Speed Rail Network by Utilizing a Two-Stage Approach," Mathematical Problems in Engineering, Hindawi, vol. 2012, pages 1-11, November.
  • Handle: RePEc:hin:jnlmpe:579130
    DOI: 10.1155/2012/579130
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    Cited by:

    1. Hamid, Faiz & Agarwal, Yogesh K., 2024. "Train stop scheduling problem: An exact approach using valid inequalities and polar duality," European Journal of Operational Research, Elsevier, vol. 313(1), pages 207-224.
    2. Zilong Fan & Di Liu & Wenyu Rong & Chengrui Li, 2022. "A Multi-Objective Optimization Model for the Intercity Railway Train Operation Plan: The Case of Beijing-Xiong’an ICR," Sustainability, MDPI, vol. 14(14), pages 1-18, July.
    3. Jinfei Wu & Xinghua Shan & Jingxia Sun & Shengyuan Weng & Shuo Zhao, 2023. "Daily Line Planning Optimization for High-Speed Railway Lines," Sustainability, MDPI, vol. 15(4), pages 1-20, February.

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