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Real-time scheduling of freight railroads

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  • Kraay, David R.
  • Harker, Patrick T.

Abstract

This article presents a model for the optimization of freight trains schedules that is intended to be used as part of a real-time control system. The goal of this model is to provide a link between strategic schedules, which might be decided every month, and line dispatching or CAD models which need to know the scheduled arrival and departure times for each train at the ends of each lane at very frequent intervals. An algorithm for the problem along with an efficient heuristic are described and then tested on a portion of a major North American railroad to ascertain their efficiency and efficacy.

Suggested Citation

  • Kraay, David R. & Harker, Patrick T., 1995. "Real-time scheduling of freight railroads," Transportation Research Part B: Methodological, Elsevier, vol. 29(3), pages 213-229, June.
    • Handle: RePEc:eee:transb:v:29:y:1995:i:3:p:213-229
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    References listed on IDEAS

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    Citations

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    Cited by:

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    2. Meng, Lingyun & Zhou, Xuesong, 2011. "Robust single-track train dispatching model under a dynamic and stochastic environment: A scenario-based rolling horizon solution approach," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1080-1102, August.
    3. Blum, Jeremy & Eskandarian, Azim, 2002. "Enhancing intelligent agent collaboration for flow optimization of railroad traffic," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(10), pages 919-930, December.
    4. 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.
    5. Min, Yun-Hong & Park, Myoung-Ju & Hong, Sung-Pil & Hong, Soon-Heum, 2011. "An appraisal of a column-generation-based algorithm for centralized train-conflict resolution on a metropolitan railway network," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 409-429, February.
    6. Li, Feng & Gao, Ziyou & Li, Keping & Yang, Lixing, 2008. "Efficient scheduling of railway traffic based on global information of train," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 1008-1030, December.
    7. Lee, Yusin & Chen, Chuen-Yih, 2009. "A heuristic for the train pathing and timetabling problem," Transportation Research Part B: Methodological, Elsevier, vol. 43(8-9), pages 837-851, September.
    8. Hallowell, Susan F. & Harker, Patrick T., 1998. "Predicting on-time performance in scheduled railroad operations: methodology and application to train scheduling," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(4), pages 279-295, May.
    9. Carlo Mannino & Alessandro Mascis, 2009. "Optimal Real-Time Traffic Control in Metro Stations," Operations Research, INFORMS, vol. 57(4), pages 1026-1039, August.
    10. Zhou, Xuesong & Zhong, Ming, 2005. "Bicriteria train scheduling for high-speed passenger railroad planning applications," European Journal of Operational Research, Elsevier, vol. 167(3), pages 752-771, December.
    11. Mazzarello, Maura & Ottaviani, Ennio, 2007. "A traffic management system for real-time traffic optimisation in railways," Transportation Research Part B: Methodological, Elsevier, vol. 41(2), pages 246-274, February.
    12. Li, Feng & Sheu, Jiuh-Biing & Gao, Zi-You, 2014. "Deadlock analysis, prevention and train optimal travel mechanism in single-track railway system," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 385-414.
    13. Zhou, Xuesong & Zhong, Ming, 2007. "Single-track train timetabling with guaranteed optimality: Branch-and-bound algorithms with enhanced lower bounds," Transportation Research Part B: Methodological, Elsevier, vol. 41(3), pages 320-341, March.
    14. Mu, Shi & Dessouky, Maged, 2011. "Scheduling freight trains traveling on complex networks," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1103-1123, August.

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