Goal-directed shortest-path queries using precomputed cluster distances

  • Authors:
  • Jens Maue;Peter Sanders;Domagoj Matijevic

  • Affiliations:
  • Institute of Theoretical Computer Science, ETH Zürich, Switzerland;Fakultät für Informatik, Universität Karlsruhe (TH), Germany;Department of Mathematics, J.J. Strossmayer University, Osijek, Croatia

  • Venue:
  • Journal of Experimental Algorithmics (JEA)
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

We demonstrate how Dijkstra's algorithm for shortest path queries can be accelerated by using precomputed shortest path distances. Our approach allows a completely flexible tradeoff between query time and space consumption for precomputed distances. In particular, sublinear space is sufficient to give the search a strong “sense of direction”. We evaluate our approach experimentally using large, real-world road networks.