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
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2013/4240/
Goerigk, Marc ;
Heße, Sacha ;
Müller-Hannemann, Matthias ;
Schmidt, Marie ;
Schöbel, Anita
Recoverable Robust Timetable Information
Abstract
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
@InProceedings{goerigk_et_al:OASIcs:2013:4240,
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 = {http://drops.dagstuhl.de/opus/volltexte/2013/4240},
URN = {urn:nbn:de:0030-drops-42407},
doi = {10.4230/OASIcs.ATMOS.2013.1},
annote = {Keywords: timetable information, recoverable robustness, delay scenarios}
}
Keywords: |
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timetable information, recoverable robustness, delay scenarios |
Collection: |
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13th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems |
Issue Date: |
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2013 |
Date of publication: |
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05.09.2013 |