• DocumentCode
    1941054
  • Title

    Adaptive route guidance system with real-time traffic information

  • Author

    Li, Caixia ; Anavatti, Sreenatha Gopalarao ; Ray, Tapabrata

  • Author_Institution
    UNSW@ADFA, Canberra, ACT, Australia
  • fYear
    2012
  • fDate
    16-19 Sept. 2012
  • Firstpage
    367
  • Lastpage
    372
  • Abstract
    This paper presents a systematic approach to adaptively realize the vehicle routing with the real-time traffic information during the whole time period of a day. It focuses on the route planning procedures for determining the optimal route based on analytical hierarchy process (AHP) and fuzzy logic theory. This approach can adaptively switch from pre-routing to real-time routing based on real-time traffic information to find an optimal route for each O-D (Origin-Destination) pairs. The AHP-FUZZY approach is a multi-criteria combination system, which can greatly simplify the definition of decision strategy and represent the multiple criteria explicitly. A simulation is implemented to compare with the traditional route guidance system and the results are validated.
  • Keywords
    decision making; fuzzy logic; real-time systems; traffic information systems; AHP-fuzzy approach; adaptive route guidance system; analytical hierarchy process; fuzzy logic theory; multicriteria combination system; real-time traffic information; route planning; vehicle routing; Navigation; Real-time systems; Routing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2012 15th International IEEE Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    2153-0009
  • Print_ISBN
    978-1-4673-3064-0
  • Electronic_ISBN
    2153-0009
  • Type

    conf

  • DOI
    10.1109/ITSC.2012.6338729
  • Filename
    6338729