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