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Routing and scheduling temporal and heterogeneous freight car traffic on rail networks

Author

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  • Kwon, Oh Kyoung
  • Martland, Carl D.
  • Sussman, Joseph M.

Abstract

Freight car scheduling is taking on a more important role in rail operating plans as more shippers demand trip plan information for their procurement, production and distribution plans, and as railroads pursue operations that are better scheduled and planned. This paper presents several ways to improve current freight car scheduling practices and describes a dynamic freight car routing and scheduling model that can produce more achievable and market-sensitive car schedules. A time-space network representation technique was used to represent car moves on possible sequences of car-to-block and block-to-train assignments on a general-merchandise rail service network. The problem was formulated as a linear multicommodity flow problem; the column generation technique was used as a solution approach. The model was tested on a hypothetical rail network based on the sub-network of a major U.S. railroad.

Suggested Citation

  • Kwon, Oh Kyoung & Martland, Carl D. & Sussman, Joseph M., 1998. "Routing and scheduling temporal and heterogeneous freight car traffic on rail networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(2), pages 101-115, June.
    • Handle: RePEc:eee:transe:v:34:y:1998:i:2:p:101-115
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    Cited by:

    1. Piotr Gołębiowski & Marianna Jacyna & Andrzej Stańczak, 2021. "The Assessment of Energy Efficiency versus Planning of Rail Freight Traffic: A Case Study on the Example of Poland," Energies, MDPI, vol. 14(18), pages 1-18, September.
    2. G Lulli & U Pietropaoli & N Ricciardi, 2011. "Service network design for freight railway transportation: the Italian case," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2107-2119, December.
    3. Bart Van Riessen & Judith Mulder & Rudy R. Negenborn & Rommert Dekker, 2021. "Revenue management with two fare classes in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 623-662, September.
    4. Fang, Kan & Ke, Ginger Y. & Verma, Manish, 2017. "A routing and scheduling approach to rail transportation of hazardous materials with demand due dates," European Journal of Operational Research, Elsevier, vol. 261(1), pages 154-168.
    5. A L Tuson & S A Harrison, 2005. "Problem difficulty of real instances of convoy planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(7), pages 763-775, July.
    6. Lawley, Mark & Parmeshwaran, Vijay & Richard, Jean-Philippe & Turkcan, Ayten & Dalal, Malay & Ramcharan, David, 2008. "A time-space scheduling model for optimizing recurring bulk railcar deliveries," Transportation Research Part B: Methodological, Elsevier, vol. 42(5), pages 438-454, June.
    7. Duan, Liwei & Tavasszy, Lorant A. & Rezaei, Jafar, 2019. "Freight service network design with heterogeneous preferences for transport time and reliability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 1-12.
    8. Khaled, Abdullah A. & Jin, Mingzhou & Clarke, David B. & Hoque, Mohammad A., 2015. "Train design and routing optimization for evaluating criticality of freight railroad infrastructures," Transportation Research Part B: Methodological, Elsevier, vol. 71(C), pages 71-84.
    9. Chen, Chongshuang & Dollevoet, Twan & Zhao, Jun, 2018. "One-block train formation in large-scale railway networks: An exact model and a tree-based decomposition algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 1-30.
    10. Alberto Ceselli & Michael Gatto & Marco E. Lübbecke & Marc Nunkesser & Heiko Schilling, 2008. "Optimizing the Cargo Express Service of Swiss Federal Railways," Transportation Science, INFORMS, vol. 42(4), pages 450-465, November.
    11. Kraft, Edwin R., 2002. "Scheduling railway freight delivery appointments using a bid price approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(2), pages 145-165, February.
    12. Chen, C. & Dollevoet, T.A.B. & Zhao, J., 2017. "One-block train formation in large-scale railway networks: An exact model and a tree-based decomposition algorithm," Econometric Institute Research Papers EI-2017-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Boliang Lin & Xingkui Li & Zexi Zhang & Yinan Zhao, 2019. "Optimizing Transport Scheme of High Value-Added Shipments in Regions without Express Train Services," Sustainability, MDPI, vol. 11(21), pages 1-21, November.
    14. Xiao, Jie & Pachl, Joern & Lin, Boliang & Wang, Jiaxi, 2018. "Solving the block-to-train assignment problem using the heuristic approach based on the genetic algorithm and tabu search," Transportation Research Part B: Methodological, Elsevier, vol. 108(C), pages 148-171.
    15. Dayarian, Iman & Rocco, Adolfo & Erera, Alan & Savelsbergh, Martin, 2022. "Operations design for high-velocity intra-city package service," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 150-168.
    16. Milenković, Miloš S. & Bojović, Nebojša J. & Švadlenka, Libor & Melichar, Vlastimil, 2015. "A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 162-198.

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    Keywords

    Freight rail optimization;

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