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DOI: 10.4230/OASIcs.ATMOS.2010.45
URN: urn:nbn:de:0030-drops-27492
URL: http://drops.dagstuhl.de/opus/volltexte/2010/2749/
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Fischer, Frank ; Helmberg, Christoph

Dynamic Graph Generation and Dynamic Rolling Horizon Techniques in Large Scale Train Timetabling

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Abstract

The aim of the train timetabling problem is to find a conflict free timetable for a set of passenger and freight trains along their routes in an infrastructure network. Several constraints like station capacities and train dependent running and headway times have to be satisfied. In this work we deal with large scale instances of the aperiodic train timetabling problem for the German railway network. The problem is modelled in a classical way via time discretised networks, its Lagrange-dual is solved by a bundle method. In order to handle the enormous number of variables and constraints dynamic graph generation and dynamic rolling horizon techniques are employed.

BibTeX - Entry

@InProceedings{fischer_et_al:OASIcs:2010:2749,
  author =	{Frank Fischer and Christoph Helmberg},
  title =	{{Dynamic Graph Generation and Dynamic Rolling Horizon Techniques in Large Scale Train Timetabling}},
  booktitle =	{10th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS'10)},
  pages =	{45--60},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-20-0},
  ISSN =	{2190-6807},
  year =	{2010},
  volume =	{14},
  editor =	{Thomas Erlebach and Marco L{\"u}bbecke},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2010/2749},
  URN =		{urn:nbn:de:0030-drops-27492},
  doi =		{http://dx.doi.org/10.4230/OASIcs.ATMOS.2010.45},
  annote =	{Keywords: combinatorial optimization, train-timetabling}
}

Keywords: combinatorial optimization, train-timetabling
Seminar: 10th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS'10)
Issue Date: 2010
Date of publication: 01.09.2010


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