License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.SEA.2022.6
URN: urn:nbn:de:0030-drops-165406
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2022/16540/
Drakulic, Darko ;
Loiodice, Christelle ;
Lehoux, Vassilissa
Routing in Multimodal Transportation Networks with Non-Scheduled Lines
Abstract
Over the last decades, new mobility offers have emerged to enlarge the coverage and the accessibility of public transportation systems. In many areas, public transit now incorporates on-demand transport lines, that can be activated at user need. In this paper, we propose to integrate lines without predefined schedules but with predefined stop sequences into a state-of-the-art trip planning algorithm for public transit, the Trip-Based Public Transit Routing algorithm [Witt, 2015]. We extend this algorithm to non-scheduled lines and explain how to model other modes of transportation, such as bike sharing, with this approach. The resulting algorithm is exact and optimizes two criteria: the earliest arrival time and the minimal number of transfers. Experiments on two large datasets show the interest of the proposed method over a baseline modelling.
BibTeX - Entry
@InProceedings{drakulic_et_al:LIPIcs.SEA.2022.6,
author = {Drakulic, Darko and Loiodice, Christelle and Lehoux, Vassilissa},
title = {{Routing in Multimodal Transportation Networks with Non-Scheduled Lines}},
booktitle = {20th International Symposium on Experimental Algorithms (SEA 2022)},
pages = {6:1--6:15},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-251-8},
ISSN = {1868-8969},
year = {2022},
volume = {233},
editor = {Schulz, Christian and U\c{c}ar, Bora},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2022/16540},
URN = {urn:nbn:de:0030-drops-165406},
doi = {10.4230/LIPIcs.SEA.2022.6},
annote = {Keywords: Multimodal routing, on-demand public transportation, bicriteria shortest paths}
}
Keywords: |
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Multimodal routing, on-demand public transportation, bicriteria shortest paths |
Collection: |
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20th International Symposium on Experimental Algorithms (SEA 2022) |
Issue Date: |
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2022 |
Date of publication: |
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11.07.2022 |