• DocumentCode
    2586640
  • Title

    Intelligent vehicle routing system

  • Author

    Teodorovic, Dusan ; Lucic, Panta

  • Author_Institution
    Dept. of Civil & Environ. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    482
  • Lastpage
    487
  • Abstract
    In this research, an “intelligent” vehicle routing system is developed. Applications of the system are considered for the stochastic vehicle routing problem (demand at the nodes is treated as a random variable and the actual demand value is known only after the visit to the node). The developed “intelllgent” system makes “online” decisions as to whether to reject or include a new node into developing vehicle route. The results are found to be very close to the best solution assuming that the future node demand pattern is known. The system applications appear to be very promising
  • Keywords
    automobiles; fuzzy control; fuzzy set theory; intelligent control; navigation; real-time systems; fuzzy control; fuzzy set theory; intelligent vehicle routing system; node demand pattern; stochastic processes; sweep algorithm; Automotive engineering; Costs; Fuzzy systems; Heating; Intelligent vehicles; Random variables; Routing; Stochastic processes; Stochastic systems; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2000. Proceedings. 2000 IEEE
  • Conference_Location
    Dearborn, MI
  • Print_ISBN
    0-7803-5971-2
  • Type

    conf

  • DOI
    10.1109/ITSC.2000.881116
  • Filename
    881116