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Routing in Multimodal Transportation Networks with Non-Scheduled Lines

Authors Darko Drakulic, Christelle Loiodice, Vassilissa Lehoux

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Darko Drakulic
  • NAVER LABS Europe, Meylan, France
Christelle Loiodice
  • NAVER LABS Europe, Meylan, France
Vassilissa Lehoux
  • NAVER LABS Europe, Meylan, France

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Darko Drakulic, Christelle Loiodice, and Vassilissa Lehoux. Routing in Multimodal Transportation Networks with Non-Scheduled Lines. In 20th International Symposium on Experimental Algorithms (SEA 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 233, pp. 6:1-6:15, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.SEA.2022.6

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.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Graph algorithms
Keywords
  • Multimodal routing
  • on-demand public transportation
  • bicriteria shortest paths

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