• DocumentCode
    1625185
  • Title

    Finding Fastest Paths on A Road Network with Speed Patterns

  • Author

    Kanoulas, Evangelos ; Du, Yang ; Xia, Tian ; Zhang, Donghui

  • Author_Institution
    Northeastern University
  • fYear
    2006
  • Firstpage
    10
  • Lastpage
    10
  • Abstract
    This paper proposes and solves the Time-Interval All Fastest Path (allFP) query. Given a user-defined leaving or arrival time interval I, a source node s and an end node e, allFP asks for a set of all fastest paths from s to e, one for each sub-interval of I. Note that the query algorithm should find a partitioning of I into sub-intervals. Existing methods can only be used to solve a very special case of the problem, when the leaving time is a single time instant. A straightforward solution to the allFP query is to run existing methods many times, once for every time instant in I. This paper proposes a solution based on novel extensions to the A* algorithm. Instead of expanding the network many times, we expand once. The travel time on a path is kept as a function of leaving time. Methods to combine travel-time functions are provided to expand a path. A novel lower-bound estimator for travel time is proposed. Performance results reveal that our method is more efficient and more accurate than the discrete-time approach.
  • Keywords
    Cities and towns; Degradation; Educational institutions; Engineering profession; Geographic Information Systems; Information science; Partitioning algorithms; Road transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2006. ICDE '06. Proceedings of the 22nd International Conference on
  • Print_ISBN
    0-7695-2570-9
  • Type

    conf

  • DOI
    10.1109/ICDE.2006.71
  • Filename
    1617378