Recoverable Robust Timetable Information

Authors Marc Goerigk, Sacha Heße, Matthias Müller-Hannemann, Marie Schmidt, Anita Schöbel



PDF
Thumbnail PDF

File

OASIcs.ATMOS.2013.1.pdf
  • Filesize: 447 kB
  • 14 pages

Document Identifiers

Author Details

Marc Goerigk
Sacha Heße
Matthias Müller-Hannemann
Marie Schmidt
Anita Schöbel

Cite AsGet 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.
Keywords
  • timetable information
  • recoverable robustness
  • delay scenarios

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail