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          <dc:title>Delay-Robust Journeys in Timetable Networks with Minimum Expected Arrival Time</dc:title>
          <dc:creator>Dibbelt, Julian</dc:creator>
          <dc:creator>Strasser, Ben</dc:creator>
          <dc:creator>Wagner, Dorothea</dc:creator>
          <dc:subject>Algorithms</dc:subject>
          <dc:subject>Optimization</dc:subject>
          <dc:subject>Delay-robustness</dc:subject>
          <dc:subject>Route planning</dc:subject>
          <dc:subject>Public transportation</dc:subject>
          <dc:description>We study the problem of computing delay-robust routes in timetable&#13;
networks. Instead of a single path we compute a decision graph containing all stops and trains/vehicles that might be relevant. Delays are formalized using a stochastic model. We show how to compute a decision graph that minimizes the expected arrival time while bounding the latest arrival time over all sub-paths. Finally we show how the information contained within a decision graph can compactly be represented to the user. We experimentally evaluate our algorithms and show that the running times allow for interactive usage on a realistic train network.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Julian Dibbelt and Ben Strasser and Dorothea Wagner</dc:contributor>
          <dc:date>2014</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 42, 14th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (2014)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.ATMOS.2014.1</dc:identifier>
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          <dc:language>eng</dc:language>
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