Robustness tests for public transport planning

Friedrich M, Müller-Hannemann M, Rückert R, Schiewe A, Schöbel A (2017)


Publication Type: Conference contribution

Publication year: 2017

Journal

Publisher: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing

Book Volume: 59

Conference Proceedings Title: OpenAccess Series in Informatics

Event location: Vienna, AUT

ISBN: 9783959770422

DOI: 10.4230/OASIcs.ATMOS.2017.6

Abstract

The classical planning process in public transport planning focuses on the two criteria operating costs and quality for passengers. Quality mostly considers quantities like average travel time and number of transfers. Since public transport often suffers from delays caused by random disturbances, we are interested in adding a third dimension: robustness. We propose passengeroriented robustness indicators for public transport networks and timetables. These robustness indicators are evaluated for several public transport plans which have been created for an artificial urban network with the same demand. The study shows that these indicators are suitable to measure the robustness of a line plan and a timetable. We explore different trade-offs between operating costs, quality (average travel time of passengers), and robustness against delays. Our results show that the proposed robustness indicators give reasonable results.

Involved external institutions

How to cite

APA:

Friedrich, M., Müller-Hannemann, M., Rückert, R., Schiewe, A., & Schöbel, A. (2017). Robustness tests for public transport planning. In Twan Dollevoet, Gianlorenzo D'Angelo (Eds.), OpenAccess Series in Informatics. Vienna, AUT: Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.

MLA:

Friedrich, Markus, et al. "Robustness tests for public transport planning." Proceedings of the 17th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems, ATMOS 2017, Vienna, AUT Ed. Twan Dollevoet, Gianlorenzo D'Angelo, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2017.

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