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Evaluating Passing Capacity in High-Speed Rail Hub Stations: Multi-Objective Optimization for Multi-Directional Train Routes

Author

Listed:
  • Hanxiao Zhou

    (School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China
    Zhejiang Rail Transit Operation Management Group Co., Ltd., Hangzhou 310020, China)

  • Leishan Zhou

    (School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)

  • Binbin Xu

    (Zhejiang Rail Transit Operation Management Group Co., Ltd., Hangzhou 310020, China)

  • Dong Zou

    (Zhejiang Rail Transit Operation Management Group Co., Ltd., Hangzhou 310020, China)

Abstract

This study presents a comprehensive method for calculating the passing capacity of high-speed rail hub stations, accommodating the complexity of intersecting train paths from multiple directions. Unlike traditional models, this approach distinguishes passing capacity by assessing each train path type individually. Employing a multi-objective framework with the NSGA-III algorithm, we seek to identify optimal trade-offs (Pareto front) in station capacity under different cross-line train configurations. Through detailed numerical simulations with both a small-scale model and Jinanxi Railway Station, the methodology demonstrates its validity and effectiveness. This enhanced capacity representation offers critical insights for strategic operational planning and decision-making in managing railway transport systems.

Suggested Citation

  • Hanxiao Zhou & Leishan Zhou & Binbin Xu & Dong Zou, 2024. "Evaluating Passing Capacity in High-Speed Rail Hub Stations: Multi-Objective Optimization for Multi-Directional Train Routes," Sustainability, MDPI, vol. 16(23), pages 1-26, November.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:23:p:10298-:d:1528665
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    References listed on IDEAS

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