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.2022.14
URN: urn:nbn:de:0030-drops-171181
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/17118/
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Potthoff, Moritz ; Sauer, Jonas

Efficient Algorithms for Fully Multimodal Journey Planning

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OASIcs-ATMOS-2022-14.pdf (0.6 MB)

Abstract

We study the journey planning problem for fully multimodal networks consisting of public transit and an arbitrary number of non-schedule-based transfer modes (e.g., walking, e-scooter, bicycle). Obtaining reasonable results in this setting requires multicriteria optimization, making the problem highly complex. Previous approaches were either limited to a single transfer mode or suffered from prohibitively slow running times. We establish a fully multimodal journey planning model that excludes undesirable solutions and can be solved efficiently. We extend existing efficient bimodal algorithms to our model and propose a new algorithm, HydRA, which enables even faster queries. On metropolitan and mid-sized country networks with walking and e-scooter as transfer modes, HydRA achieves query times of around 30 ms, which is fast enough for interactive applications.

BibTeX - Entry

@InProceedings{potthoff_et_al:OASIcs.ATMOS.2022.14,
  author =	{Potthoff, Moritz and Sauer, Jonas},
  title =	{{Efficient Algorithms for Fully Multimodal Journey Planning}},
  booktitle =	{22nd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2022)},
  pages =	{14:1--14:15},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-259-4},
  ISSN =	{2190-6807},
  year =	{2022},
  volume =	{106},
  editor =	{D'Emidio, Mattia and Lindner, Niels},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/17118},
  URN =		{urn:nbn:de:0030-drops-171181},
  doi =		{10.4230/OASIcs.ATMOS.2022.14},
  annote =	{Keywords: Algorithms, Journey Planning, Multimodal, Multicriteria, Public Transit}
}

Keywords: Algorithms, Journey Planning, Multimodal, Multicriteria, Public Transit
Collection: 22nd Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2022)
Issue Date: 2022
Date of publication: 06.09.2022
Supplementary Material: Source code is available at https://github.com/kit-algo/ULTRA.

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