License: Creative Commons Attribution 3.0 Unported license (CC-BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ATMOS.2020.6
URN: urn:nbn:de:0030-drops-131422
URL: https://drops.dagstuhl.de/opus/volltexte/2020/13142/
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Bouman, Paul ; Schiewe, Alexander ; Schiewe, Philine

A New Sequential Approach to Periodic Vehicle Scheduling and Timetabling

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OASIcs-ATMOS-2020-6.pdf (0.5 MB)


Abstract

When evaluating the operational costs of a public transport system, the most important factor is the number of vehicles needed for operation. In contrast to the canonical sequential approach of first fixing a timetable and then adding a vehicle schedule, we consider a sequential approach where a vehicle schedule is determined for a given line plan and only afterwards a timetable is fixed. We compare this new sequential approach to a model that integrates both steps. To represent various operational requirements, we consider multiple possibilities to restrict the vehicle circulations to be short, as this can provide operational benefits. The sequential approach can efficiently determine public transport plans with a low number of vehicles. This is evaluated theoretically and empirically demonstrated for two close-to real-world instances.

BibTeX - Entry

@InProceedings{bouman_et_al:OASIcs:2020:13142,
  author =	{Paul Bouman and Alexander Schiewe and Philine Schiewe},
  title =	{{A New Sequential Approach to Periodic Vehicle Scheduling and Timetabling}},
  booktitle =	{20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2020)},
  pages =	{6:1--6:16},
  series =	{OpenAccess Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-170-2},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{85},
  editor =	{Dennis Huisman and Christos D. Zaroliagis},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2020/13142},
  URN =		{urn:nbn:de:0030-drops-131422},
  doi =		{10.4230/OASIcs.ATMOS.2020.6},
  annote =	{Keywords: Vehicle Scheduling, Timetabling, Integrated Planning}
}

Keywords: Vehicle Scheduling, Timetabling, Integrated Planning
Collection: 20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2020)
Issue Date: 2020
Date of publication: 10.11.2020


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