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