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          <dc:title>Faster Batched Shortest Paths in Road Networks</dc:title>
          <dc:creator>Delling, Daniel</dc:creator>
          <dc:creator>Goldberg, Andrew V.</dc:creator>
          <dc:creator>Werneck, Renato F.</dc:creator>
          <dc:subject>shortest paths</dc:subject>
          <dc:subject>contraction hierarchies</dc:subject>
          <dc:subject>many-to-many</dc:subject>
          <dc:subject>one-to-many</dc:subject>
          <dc:description>We study the problem of computing batched shortest paths in road networks efficiently. Our focus is on computing paths from a single source to multiple targets (one-to-many queries). We perform a comprehensive experimental comparison of several approaches, including new ones. We conclude that a new extension of PHAST (a recent one-to-all algorithm), called RPHAST, has the best performance in most cases, often by orders of magnitude. When used to compute distance tables (many-to-many queries), RPHAST often outperforms all previous approaches.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Daniel Delling and Andrew V. Goldberg and Renato F. Werneck</dc:contributor>
          <dc:date>2011</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 20, 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (2011)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/OASIcs.ATMOS.2011.52</dc:identifier>
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          <dc:language>eng</dc:language>
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