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Station Dispatching Problem for a Large Terminal: A Constraint Programming Approach

Author

Listed:
  • Rajnish Kumar

    (Department of Mathematics, National Institute of Technology, Durgapur 713209, West Bengal, India)

  • Goutam Sen

    (Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India)

  • Samarjit Kar

    (Department of Mathematics, National Institute of Technology, Durgapur 713209, West Bengal, India)

  • Manoj Kumar Tiwari

    (Department of Industrial and Systems Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India)

Abstract

At Howrah Station, the largest railway station in India, planners manually determine the routing and scheduling of train movements (referred to as train dispatching) at present. This approach to train dispatching, which is a complex combinatorial optimization problem, can result in long delays because planners have many resource-allocation options in the spatial and temporal domains. In this paper, we discuss a computational model to provide the best feasible solution(s) for minimizing the dispatching delays within a planning horizon. We consider an integrated station dispatching problem that consists of allocating and scheduling platforms and routes for trains at Howrah Station, and we develop a constraint programming (CP)-based approach to model the problem. We show that the delay that the model generates is approximately half the delay currently observed in practice. The solutions have been verified by Howrah Station authority, and the model is being considered for implementation. The novelty of the solution is that it uses a CP-based model for the integrated station dispatching problem and successfully deals with a large station with specific operational protocols.

Suggested Citation

  • Rajnish Kumar & Goutam Sen & Samarjit Kar & Manoj Kumar Tiwari, 2018. "Station Dispatching Problem for a Large Terminal: A Constraint Programming Approach," Interfaces, INFORMS, vol. 48(6), pages 510-528, November.
    • Handle: RePEc:inm:orinte:v:48:y:2018:i:6:p:510-528
    DOI: 10.1287/inte.2018.0950
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    References listed on IDEAS

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    1. Peter J. Zwaneveld & Leo G. Kroon & H. Edwin Romeijn & Marc Salomon & Stéphane Dauzère-Pérès & Stan P. M. Van Hoesel & Harrie W. Ambergen, 1996. "Routing Trains Through Railway Stations: Model Formulation and Algorithms," Transportation Science, INFORMS, vol. 30(3), pages 181-194, August.
    2. G. Caimi & F. Chudak & M. Fuchsberger & M. Laumanns & R. Zenklusen, 2011. "A New Resource-Constrained Multicommodity Flow Model for Conflict-Free Train Routing and Scheduling," Transportation Science, INFORMS, vol. 45(2), pages 212-227, May.
    3. Valentina Cacchiani & Alberto Caprara & Matteo Fischetti, 2012. "A Lagrangian Heuristic for Robustness, with an Application to Train Timetabling," Transportation Science, INFORMS, vol. 46(1), pages 124-133, February.
    4. Chakroborty, Partha & Vikram, Durgesh, 2008. "Optimum assignment of trains to platforms under partial schedule compliance," Transportation Research Part B: Methodological, Elsevier, vol. 42(2), pages 169-184, February.
    5. Rodriguez, Joaquín, 2007. "A constraint programming model for real-time train scheduling at junctions," Transportation Research Part B: Methodological, Elsevier, vol. 41(2), pages 231-245, February.
    6. Pellegrini, Paola & Marlière, Grégory & Rodriguez, Joaquin, 2014. "Optimal train routing and scheduling for managing traffic perturbations in complex junctions," Transportation Research Part B: Methodological, Elsevier, vol. 59(C), pages 58-80.
    7. U. Brännlund & P. O. Lindberg & A. Nõu & J.-E. Nilsson, 1998. "Railway Timetabling Using Lagrangian Relaxation," Transportation Science, INFORMS, vol. 32(4), pages 358-369, November.
    8. Alberto Caprara & Laura Galli & Paolo Toth, 2011. "Solution of the Train Platforming Problem," Transportation Science, INFORMS, vol. 45(2), pages 246-257, 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. Leonardo Lamorgese & Carlo Mannino & Mauro Piacentini, 2016. "Optimal Train Dispatching by Benders’-Like Reformulation," Transportation Science, INFORMS, vol. 50(3), pages 910-925, August.
    11. Leonardo Lamorgese & Carlo Mannino, 2015. "An Exact Decomposition Approach for the Real-Time Train Dispatching Problem," Operations Research, INFORMS, vol. 63(1), pages 48-64, February.
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