• DocumentCode
    3461459
  • Title

    AI-based dynamic route guidance strategy and its simulation

  • Author

    He, Guo-guang ; Ma, Shou-feng

  • Author_Institution
    Institute. of Syst. Eng., Tianjin Univ., China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    28
  • Lastpage
    32
  • Abstract
    Dynamic route guidance system must be intelligent because traffic flow process is a complex process with the high uncertainty. In this paper, a new strategy for dynamic route guidance based on artificial intelligence is proposed, and its simulation results are given
  • Keywords
    inference mechanisms; learning (artificial intelligence); navigation; optimal control; road traffic; traffic control; artificial intelligence; dynamic route guidance; inference engine; machine learning; optimal control; road traffic control; simulation; traffic flow; uncertainty; Artificial intelligence; Automatic control; Communication system traffic control; Control systems; Helium; Navigation; Systems engineering and theory; Telecommunication traffic; Traffic control; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE
  • Conference_Location
    Oakland, CA
  • Print_ISBN
    0-7803-7194-1
  • Type

    conf

  • DOI
    10.1109/ITSC.2001.948624
  • Filename
    948624