• DocumentCode
    2214915
  • Title

    Fuzzy-ant based dynamic routing on large road networks

  • Author

    Geetha, M. ; Nawaz, G. M Kadhar

  • Author_Institution
    Dept. of Master of Comput. Applic., Sona Coll. of Technol., Salem, India
  • fYear
    2012
  • fDate
    21-23 March 2012
  • Firstpage
    172
  • Lastpage
    177
  • Abstract
    Route selection is essential in everyday life. We have several algorithms for detecting efficient route on Large Road Networks. This paper introduce the hierarchical community, is presented. It splits large road networks into hierarchical structure. It introduces a multi parameter route selection system which employs Fuzzy Logic (FL) and ant´s behavior in nature is applied for the dynamic routing. The important rates of parameters such as path length and traffic are adjustable by the user. The purposes of new hierarchical routing algorithm significantly reduce the search space. We develop a community-based hierarchical graph model that supports Dynamic efficient route computation on large road networks.
  • Keywords
    ant colony optimisation; fuzzy logic; graph theory; road traffic; FL; ant behavior; community-based hierarchical graph model; dynamic efficient route computation; fuzzy logic; fuzzy-ant based dynamic routing; hierarchical routing algorithm; large road networks; multiparameter route selection system; path length parameter; search space reduction; traffic parameter; Communities; Fuzzy logic; Heuristic algorithms; Junctions; Roads; Routing; Vehicles; Ant-colony algorithm; Hierarchical community; dynamic parameters; fuzzy logic; traffic routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, Informatics and Medical Engineering (PRIME), 2012 International Conference on
  • Conference_Location
    Salem, Tamilnadu
  • Print_ISBN
    978-1-4673-1037-6
  • Type

    conf

  • DOI
    10.1109/ICPRIME.2012.6208338
  • Filename
    6208338