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Faster Preprocessing for the Trip-Based Public Transit Routing Algorithm

Authors Vassilissa Lehoux , Christelle Loiodice

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

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Vassilissa Lehoux and Christelle Loiodice. Faster Preprocessing for the Trip-Based Public Transit Routing Algorithm. In 20th Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2020). Open Access Series in Informatics (OASIcs), Volume 85, pp. 3:1-3:12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020) https://doi.org/10.4230/OASIcs.ATMOS.2020.3

Abstract

We propose an additional preprocessing step for the Trip-Based Public Transit Routing algorithm, an exact state-of-the art algorithm for bi-criteria min cost path problems in public transit networks. This additional step reduces significantly the preprocessing time, while preserving the correctness and the computation times of the queries. We test our approach on three large scale networks and show that the improved preprocessing is compatible with frequent real-time updates, even on the larger data set. The experiments also indicate that it is possible, if preprocessing time is an issue, to use the proposed preprocessing step on its own to obtain already a significant reduction of the query times compared to the no pruning scenario.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Graph algorithms
Keywords
  • Public transit
  • Route planning
  • Algorithms
  • Preprocessing

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