While it is important to provide attractive public transportation to the passengers allowing short travel times, it should also be a major concern to reduce the amount of energy used by the public transport system. Electrical trains can regenerate energy when braking, which can be used by a nearby accelerating train. Therefore, apart from the minimization of travel times, the maximization of brake-traction overlaps of nearby trains is an important objective in periodic timetabling. Recently, this has been studied in a model allowing small modifications of a nominal timetable. We investigate the problem of finding periodic timetables that are globally good in both objective functions. We show that the general problem is NP-hard, even restricted to a single transfer station and if only travel time is to be minimized, and give an algorithm with an additive error bound for maximizing the brake-traction overlap on this small network. Moreover, we identify special cases in which the problem is solvable in polynomial time. Finally, we demonstrate the trade-off between the two objective functions in an experimental study.
@InProceedings{jager_et_al:OASIcs.ATMOS.2024.10, author = {J\"{a}ger, Sven and Roth, Sarah and Sch\"{o}bel, Anita}, title = {{Periodic Timetabling: Travel Time vs. Regenerative Energy}}, booktitle = {24th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2024)}, pages = {10:1--10:20}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-350-8}, ISSN = {2190-6807}, year = {2024}, volume = {123}, editor = {Bouman, Paul C. and Kontogiannis, Spyros C.}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2024.10}, URN = {urn:nbn:de:0030-drops-211983}, doi = {10.4230/OASIcs.ATMOS.2024.10}, annote = {Keywords: periodic timetabling, regenerative braking} }
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