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Result Diversity for Multi-Modal Route Planning

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.
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https://hal.inria.fr/hal-00871740
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Submitted on : Thursday, October 10, 2013 - 11:59:38 AM
Last modification on : Friday, October 11, 2013 - 1:38:04 PM
Long-term archiving on: : Friday, April 7, 2017 - 8:56:29 AM

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Hannah Bast, Mirko Brodesser, Sabine Storandt. Result Diversity for Multi-Modal Route Planning. ATMOS - 13th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems - 2013, Sep 2013, Sophia Antipolis, France. pp.123--136, ⟨10.4230/OASIcs.ATMOS.2013.123⟩. ⟨hal-00871740⟩

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