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Structure-Based Decomposition for Pattern-Detection for Railway Timetables

  • Stanley Schade
  • Thomas Schlechte
  • Jakob Witzig
Conference paper
Part of the Operations Research Proceedings book series (ORP)

Abstract

We consider the problem of pattern detection in large scale railway timetables. This problem arises in rolling stock optimization planning in order to identify invariant sections of the timetable for which a cyclic rotation plan is adequate. We propose a dual reduction technique which leads to an decomposition and enumeration method. Computational results for real world instances demonstrate that the method is able to produce optimal solutions as fast as standard MIP solvers.

Notes

Acknowledgements

The work for this article has been conducted within the Research Campus Modal funded by the German Federal Ministry of Education and Research (fund number 05M14ZAM).

References

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Stanley Schade
    • 1
  • Thomas Schlechte
    • 2
  • Jakob Witzig
    • 3
  1. 1.Zuse Institute Berlin, Mathematics of Transportation and LogisticsBerlinGermany
  2. 2.LBW Optimization GmbHBerlinGermany
  3. 3.Zuse Institute Berlin, Mathematical Optimization MethodsBerlinGermany

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