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Result Diversity for Multi-Modal Route Planning

Authors Hannah Bast, Mirko Brodesser, Sabine Storandt



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OASIcs.ATMOS.2013.123.pdf
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Hannah Bast
Mirko Brodesser
Sabine Storandt

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Hannah Bast, Mirko Brodesser, and Sabine Storandt. Result Diversity for Multi-Modal Route Planning. In 13th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems. Open Access Series in Informatics (OASIcs), Volume 33, pp. 123-136, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2013)
https://doi.org/10.4230/OASIcs.ATMOS.2013.123

Abstract

We study multi-modal route planning allowing arbitrary (meaningful) combinations of public transportation, walking, and taking a car / taxi. In the straightforward model, the number of Pareto-optimal solutions explodes. It turns out that many of them are similar to each other or unreasonable. We introduce a new filtering procedure, Types aNd Thresholds (TNT), which leads to a small yet representative subset of the reasonable paths. We consider metropolitan areas like New York, where a fast computation of the paths is difficult. To reduce the high computation times, optimality-preserving and heuristic approaches are introduced. We experimentally evaluate our approach with respect to result quality and query time. The experiments confirm that our result sets are indeed small (around 5 results per query) and representative (among the reasonable Pareto-optimal paths), and with average query times of about one second or less.
Keywords
  • Route Planning
  • Multi-Modal
  • Result Diversity

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