• DocumentCode
    2478913
  • Title

    Hierarchical freeway control based on the composition of PID controller and CMAC

  • Author

    Liang, Xinrong ; Wei, Yanxiu

  • Author_Institution
    Sch. of Inf., Wuyi Univ., Jiangmen
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    1247
  • Lastpage
    1251
  • Abstract
    The hierarchical structure and CMAC (cerebellar model articulation controller) are used for freeway ramp metering. The macroscopic model to describe the evolution of freeway traffic flow is first established. The algorithm of the composition controller of PID and CMAC is then studied. There are two control layers in this control architecture: the coordinated control layer is responsible for computing the desired state of each segment, and the direct control layer is in charge of the ramp metering rate via the composition controller of PID and CMAC. Finally, the control system is simulated in MATLAB software and fuzzy logic control is also chosen in contrast to the composition control. The result shows that the composition controller improves evidently on the aspects of response speed and dynamic performance. This method can effectively eliminate traffic jams, and can make vehicles travel more efficiently and safely.
  • Keywords
    cerebellar model arithmetic computers; fuzzy control; road traffic; three-term control; CMAC; PID controller; cerebellar model articulation controller; freeway ramp metering; freeway traffic flow; fuzzy logic control; hierarchical freeway control; macroscopic model; traffic jams; Computational modeling; Computer architecture; Control system synthesis; Fuzzy logic; MATLAB; Mathematical model; Three-term control; Traffic control; Vehicle dynamics; Vehicle safety; CMAC network; freeway; hierarchical control; traffic flow model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593102
  • Filename
    4593102