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        <datestamp>2024-03-06T10:29:49Z</datestamp>
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          <dc:title>Bi-directional Search for Robust Routes in Time-dependent Bi-criteria Road Networks</dc:title>
          <dc:creator>Mihalák, Matúš</dc:creator>
          <dc:creator>Montanari, Sandro</dc:creator>
          <dc:subject>shortest path</dc:subject>
          <dc:subject>time-dependent</dc:subject>
          <dc:subject>bi-criteria</dc:subject>
          <dc:subject>bi-directional search</dc:subject>
          <dc:subject>min-max relative regret</dc:subject>
          <dc:description>Based on time-dependent travel times for N past days, we consider the computation of robust routes according to the min-max relative regret criterion. For this method we seek a path minimizing its maximum weight in any one of the N days, normalized by the weight of an optimum for the respective day. In order to speed-up this computationally demanding approach, we observe that its output belongs to the Pareto front of the network with time-dependent&#13;
multi-criteria edge weights. We adapt a well-known algorithm for computing Pareto fronts in time-dependent graphs and apply the bi-directional search technique to it. We also show how to parametrize this algorithm by a value K to compute a K-approximate Pareto front. An experimental evaluation for the cases N = 2 and N = 3 indicates a considerable speed-up of the bi-directional search over the uni-directional.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Matúš Mihalák and Sandro Montanari</dc:contributor>
          <dc:date>2015</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 48, 15th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2015)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.ATMOS.2015.82</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-54561</dc:identifier>
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          <dc:language>eng</dc:language>
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