• DocumentCode
    2727757
  • Title

    A New Shortest Path Algorithm based on Heuristic Strategy

  • Author

    Xi, Chen ; Qi, Fei ; Li Wei

  • Author_Institution
    Inst. of Syst. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2531
  • Lastpage
    2536
  • Abstract
    The paper presents a new dynamic direction restricted algorithm based on the Dijkstra algorithm, direction restricted algorithm and area restricted algorithm for computing shortest-path from one node to another node in traffic networks. This new algorithm can be combined with many other used heuristic algorithms. This new algorithm has been implemented in practice. The implementation performance of that new algorithm is compared to the Dijkstra algorithm, the A* algorithm, and so on. The results of comparison show that the new algorithm is efficient not only by itself but also by combining with other algorithms. For a network containing 5000 nodes and 10000 arcs, the dynamic direction restricted algorithm led to almost a saving ratio of 50 in terms of both number of nodes selected and computation times, compared with the Dijkstra algorithm
  • Keywords
    graph theory; heuristic programming; road traffic; transportation; Dijkstra algorithm; area restricted algorithm; dynamic direction restricted algorithm; heuristic strategy; shortest path algorithm; traffic networks; Artificial intelligence; Computer networks; Context modeling; Heuristic algorithms; Large-scale systems; Paper technology; Shortest path problem; Supply chains; Systems engineering and theory; Telecommunication traffic; Dijkstra algorithm; heuristic strategy; shortest path; the dynamic direction restricted algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1712818
  • Filename
    1712818