• DocumentCode
    2121735
  • Title

    Coordinated Control of Multiple Ramp Metering Based on DHP (λ) Controller

  • Author

    Bai, Xuerui ; Zhao, Dongbin ; Yi, Jianqiang ; Xu, Jing

  • Author_Institution
    Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    351
  • Lastpage
    356
  • Abstract
    we presented a novel control method in previous studies, which is action-dependent heuristic dynamic programming based on eligibility traces (ADHDP (lambda)). Although ADHDP (lambda) has good performance in local ramp metering control, it can´t efficiently deal with the problems of multiple ramp metering control. Then in this article, a new method which is called dual heuristic programming based on eligibility traces (DHP (lambda)) is presented. The new method DHP (lambda) is composed of DHP and eligibility traces. DHP has efficiently solved the problem of coordinate ramp metering control, and eligibility traces can accelerate the learning rate of DHP. DHP (lambda) is an approximate optimal ramp metering method. Simulation studies on a hypothetical freeway are reported, whereby the results are compared with those obtained by applying ALINEA as a stand-alone strategy. It is shown that the proposed control scheme is efficient.
  • Keywords
    dynamic programming; heuristic programming; metering; road traffic; transportation; DHP controller; action-dependent heuristic dynamic programming; approximate optimal ramp metering; coordinate ramp metering control; coordinated control; dual heuristic programming; eligibility traces; local ramp metering control; multiple ramp metering control; Acceleration; Communication system traffic control; Control systems; Dynamic programming; Feedback control; Intelligent systems; Intelligent transportation systems; Laboratories; Optimal control; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2111-4
  • Electronic_ISBN
    978-1-4244-2112-1
  • Type

    conf

  • DOI
    10.1109/ITSC.2008.4732647
  • Filename
    4732647