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A Modulo Network Simplex Method for Solving Periodic Timetable Optimisation Problems

In: Operations Research Proceedings 2007

Author

Listed:
  • Karl Nachtigall

    (TU Dresden)

  • Jens Opitz

    (TU Dresden)

Abstract

In the last 15 years periodic timetable problems had been found much interest in combinatorial optimization. The results presented in [5, 9, 2, 3, 6, 7, 1] are based on a periodic event scheduling model published by Serafini and Ukovich [10].

Suggested Citation

  • Karl Nachtigall & Jens Opitz, 2008. "A Modulo Network Simplex Method for Solving Periodic Timetable Optimisation Problems," Operations Research Proceedings, in: Jörg Kalcsics & Stefan Nickel (ed.), Operations Research Proceedings 2007, pages 461-466, Springer.
    • Handle: RePEc:spr:oprchp:978-3-540-77903-2_71
    DOI: 10.1007/978-3-540-77903-2_71
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    Citations

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    Cited by:

    1. Christoph Helmberg & Tobias Hofmann & David Wenzel, 2022. "Periodic Event Scheduling for Automated Production Systems," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 1291-1304, March.
    2. Nikola Bešinović & Egidio Quaglietta & Rob M. P. Goverde, 2019. "Resolving instability in railway timetabling problems," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 833-861, December.
    3. Hartleb, Johann & Schmidt, Marie, 2022. "Railway timetabling with integrated passenger distribution," European Journal of Operational Research, Elsevier, vol. 298(3), pages 953-966.
    4. Polinder, Gert-Jaap & Schmidt, Marie & Huisman, Dennis, 2021. "Timetabling for strategic passenger railway planning," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 111-135.

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