License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/OASIcs.ATMOS.2021.17
URN: urn:nbn:de:0030-drops-148863
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2021/14886/
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Şahin, Güvenç ; Ahmadi Digehsara, Amin ; Borndörfer, Ralf

Efficient Algorithms for the Multi-Period Line Planning Problem in Public Transportation (Short Paper)

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OASIcs-ATMOS-2021-17.pdf (0.5 MB)

Abstract

In order to plan and schedule a demand-responsive public transportation system, both temporal and spatial changes in demand should be taken into account even at the line planning stage. We study the multi-period line planning problem with integrated decisions regarding dynamic allocation of vehicles among the lines. Given the NP-hard nature of the line planning problem, the multi-period version is clearly difficult to solve for large public transit networks even with advanced solvers. It becomes necessary to develop algorithms that are capable of solving even the very-large instances in reasonable time. For instances which belong to real public transit networks, we present results of a heuristic local branching algorithm and an exact approach based on constraint propagation.

BibTeX - Entry

@InProceedings{sahin_et_al:OASIcs.ATMOS.2021.17,
  author =	{\c{S}ahin, G\"{u}ven\c{c} and Ahmadi Digehsara, Amin and Bornd\"{o}rfer, Ralf},
  title =	{{Efficient Algorithms for the Multi-Period Line Planning Problem in Public Transportation}},
  booktitle =	{21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)},
  pages =	{17:1--17:6},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-213-6},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{96},
  editor =	{M\"{u}ller-Hannemann, Matthias and Perea, Federico},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2021/14886},
  URN =		{urn:nbn:de:0030-drops-148863},
  doi =		{10.4230/OASIcs.ATMOS.2021.17},
  annote =	{Keywords: public transportation, line planning, multi-period planning, local branching, constraint propagation}
}

Keywords: public transportation, line planning, multi-period planning, local branching, constraint propagation
Collection: 21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)
Issue Date: 2021
Date of publication: 27.09.2021

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