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A Re-optimization Approach for Train Dispatching

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Operations Research Proceedings 2016

Part of the book series: Operations Research Proceedings ((ORP))

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Abstract

The Train Dispatching Problem (TDP) is to schedule trains through a network in a cost optimal way. Due to disturbances during operation existing track allocations often have to be re-scheduled and integrated into the timetable. This has to be done in seconds and with minimal timetable changes to guarantee smooth and conflict free operation. We present an integrated modeling approach for the re-optimization task using Mixed Integer Programming. Finally, we provide computational results for scenarios provided by the INFORMS RAS Problem Soling Competition 2012.

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Author information

Authors and Affiliations

  1. Universität Kassel, Kassel, Germany

    Frank Fischer

  2. Zuse Institute Berlin, Takustr. 7, 14195, Berlin, Germany

    Boris Grimm, Torsten Klug & Thomas Schlechte

Authors
  1. Frank Fischer
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  2. Boris Grimm
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  3. Torsten Klug
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  4. Thomas Schlechte
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Corresponding author

Correspondence to Torsten Klug .

Editor information

Editors and Affiliations

  1. Institute of Computer Science, Helmut Schmidt University, Institute of Computer Science, Hamburg, Germany

    Andreas Fink

  2. Applied Mathematics, Helmut Schmidt University, Applied Mathematics, Hamburg, Germany

    Armin Fügenschuh

  3. Institute of Logistics and Organization, Helmut Schmidt University, Institute of Logistics and Organization, Hamburg, Germany

    Martin Josef Geiger

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Fischer, F., Grimm, B., Klug, T., Schlechte, T. (2018). A Re-optimization Approach for Train Dispatching. In: Fink, A., Fügenschuh, A., Geiger, M. (eds) Operations Research Proceedings 2016. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-55702-1_85

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