License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ATMOS.2013.1
URN: urn:nbn:de:0030-drops-42407
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Goerigk, Marc ; Heße, Sacha ; Müller-Hannemann, Matthias ; Schmidt, Marie ; Schöbel, Anita

Recoverable Robust Timetable Information

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Timetable information is the process of determining a suitable travel route for a passenger. Due to delays in the original timetable, in practice it often happens that the travel route cannot be used as originally planned. For a passenger being already en route, it would hence be useful to know about alternatives that ensure that his/her destination can be reached.

In this work we propose a recoverable robust approach to timetable information; i.e., we aim at finding travel routes that can easily be updated when delays occur during the journey. We present polynomial-time algorithms for this problem and evaluate the performance of the routes obtained this way on schedule data of the German train network of 2013 and simulated delay scenarios.

BibTeX - Entry

  author =	{Marc Goerigk and Sacha He{\ss}e and Matthias  M{\"u}ller-Hannemann and Marie Schmidt and Anita Sch{\"o}bel},
  title =	{{Recoverable Robust Timetable Information}},
  booktitle =	{13th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems},
  pages =	{1--14},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-58-3},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{33},
  editor =	{Daniele Frigioni and Sebastian Stiller},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-42407},
  doi =		{10.4230/OASIcs.ATMOS.2013.1},
  annote =	{Keywords: timetable information, recoverable robustness, delay scenarios}

Keywords: timetable information, recoverable robustness, delay scenarios
Collection: 13th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems
Issue Date: 2013
Date of publication: 05.09.2013

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