Online computation of fastest path in time-dependent spatial networks

  • Authors:
  • Ugur Demiryurek;Farnoush Banaei-Kashani;Cyrus Shahabi;Anand Ranganathan

  • Affiliations:
  • University of Southern California, Department of Computer Science, Los Angeles, CA;University of Southern California, Department of Computer Science, Los Angeles, CA;University of Southern California, Department of Computer Science, Los Angeles, CA;IBM T.J. Watson Research Center, Hawthorne, NY

  • Venue:
  • SSTD'11 Proceedings of the 12th international conference on Advances in spatial and temporal databases
  • Year:
  • 2011

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Abstract

The problem of point-to-point fastest path computation in static spatial networks is extensively studied with many precomputation techniques proposed to speed-up the computation. Most of the existing approaches make the simplifying assumption that travel-times of the network edges are constant. However, with real-world spatial networks the edge travel-times are time-dependent, where the arrival-time to an edge determines the actual travel-time on the edge. In this paper, we study the online computation of fastest path in time-dependent spatial networks and present a technique which speeds-up the path computation. We show that our fastest path computation based on a bidirectional time-dependent A* search significantly improves the computation time and storage complexity. With extensive experiments using real data-sets (including a variety of large spatial networks with real traffic data) we demonstrate the efficacy of our proposed techniques for online fastest path computation.