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Integrated optimization for high-speed railway express system with multiple modes

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  • Zhen, Lu
  • Zhang, Nianzu
  • Yang, Zhiyuan

Abstract

High-speed railway (HSR) express, as an emerging transport option in the logistics industry, provides sufficient transport resources to satisfy the demands for large-scale, high value-added, and customized logistics requirements. Unlike conventional transport options, the HSR express is capable of using multiple modes (i.e., piggybacking, reserved-coach, and freight trains modes) to efficiently convey freights to a broad variety of locations. Based on the operational characteristics of various HSR express modes, this study takes into consideration of integrated optimization problems, such as whether high-speed trains of various HSR express modes can transport the freights of specific types, the amounts of freights transported by each HSR express mode, and the arrangement of capacity resources of each mode. This study establishes a stochastic mixed integer programming model with the goal of maximizing the net profit of the HSR express system and designs a heuristic solution approach to solve the model efficiently. To verify the validity of the proposed model and algorithm, a large number of numerical experiments and a real-world case are conducted. Based on the extensive experiments, this study provides railway companies potentially with useful insights for developing the HSR express with various modes.

Suggested Citation

  • Zhen, Lu & Zhang, Nianzu & Yang, Zhiyuan, 2023. "Integrated optimization for high-speed railway express system with multiple modes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
  • Handle: RePEc:eee:transe:v:180:y:2023:i:c:s1366554523003241
    DOI: 10.1016/j.tre.2023.103336
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    References listed on IDEAS

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    1. Pu, Song & Zhan, Shuguang, 2021. "Two-stage robust railway line-planning approach with passenger demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    2. Zhen, Lu & Fan, Tianyi & Li, Haolin & Wang, Shuaian & Tan, Zheyi, 2023. "An optimization model for express delivery with high-speed railway," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 176(C).
    3. Zhang, Chuntian & Gao, Yuan & Yang, Lixing & Gao, Ziyou & Qi, Jianguo, 2020. "Joint optimization of train scheduling and maintenance planning in a railway network: A heuristic algorithm using Lagrangian relaxation," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 64-92.
    4. Li, Siqiao & Zhu, Xiaoning & Shang, Pan & Li, Tianqi & Liu, Wenqian, 2023. "Optimizing a shared freight and passenger high-speed railway system: A multi-commodity flow formulation with Benders decomposition solution approach," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 1-31.
    5. Canca, David & De-Los-Santos, Alicia & Laporte, Gilbert & Mesa, Juan A., 2019. "Integrated Railway Rapid Transit Network Design and Line Planning problem with maximum profit," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 1-30.
    6. Xueqiao Yu & Lingyun Zhou & Mingkun Huo & Xiao Yu, 2021. "Research on High-Speed Railway Freight Train Organization Method considering Different Transportation Product Demands," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-17, July.
    7. 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.
    8. Pazour, Jennifer A. & Meller, Russell D. & Pohl, Letitia M., 2010. "A model to design a national high-speed rail network for freight distribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(3), pages 119-135, March.
    9. Xin Zhang & Lei Nie & Xin Wu & Yu Ke, 2020. "How to Optimize Train Stops under Diverse Passenger Demand: a New Line Planning Method for Large-Scale High-Speed Rail Networks," Networks and Spatial Economics, Springer, vol. 20(4), pages 963-988, December.
    10. Xie, Fengjie & Ma, Mengdi & Ren, Cuiping, 2022. "Research on multilayer network structure characteristics from a higher-order model: The case of a Chinese high-speed railway system," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    11. Zhang, Qin & Lusby, Richard Martin & Shang, Pan & Zhu, Xiaoning, 2022. "A heuristic approach to integrate train timetabling, platforming, and railway network maintenance scheduling decisions," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 210-238.
    12. Bi, Mingkai & He, Shiwei & Xu, Wangtu (Ato), 2019. "Express delivery with high-speed railway: Definitely feasible or just a publicity stunt," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 165-187.
    13. Zeyu Wang & Leishan Zhou & Bin Guo & Xing Chen & Hanxiao Zhou, 2021. "An Efficient Hybrid Approach for Scheduling the Train Timetable for the Longer Distance High-Speed Railway," Sustainability, MDPI, vol. 13(5), pages 1-22, February.
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