OASIcs.ATMOS.2013.1.pdf
- Filesize: 447 kB
- 14 pages
Document
Recoverable Robust Timetable Information
Authors
-
Part of:
Volume:
13th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2013)
Series: Open Access Series in Informatics (OASIcs)
Conference: Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS) - License:
Creative Commons Attribution 3.0 Unported license
- Publication Date: 2013-09-05
Cite As Get BibTex
Marc Goerigk, Sacha Heße, Matthias Müller-Hannemann, Marie Schmidt, and Anita Schöbel. Recoverable Robust Timetable Information. In 13th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems. Open Access Series in Informatics (OASIcs), Volume 33, pp. 1-14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)
https://doi.org/10.4230/OASIcs.ATMOS.2013.1
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.
Subject Classification
Keywords
- timetable information
- recoverable robustness
- delay scenarios
Metrics
- Access Statistics
-
Total Accesses (updated on a weekly basis)
0PDF Downloads