• DocumentCode
    1867880
  • Title

    Oversaturated adjacent intersections control based on multi-Objective compatible control algorithm

  • Author

    Chen, Juan ; Xu, Lihong ; Yang, Xiaoguang ; Yuan, Changliang

  • Author_Institution
    Tongji Univ., Shanghai
  • fYear
    2007
  • fDate
    Sept. 30 2007-Oct. 3 2007
  • Firstpage
    367
  • Lastpage
    372
  • Abstract
    This paper propose an IPNSGA-II based multi-objective compatible control algorithm to control oversaturated adjacent junctions. The concept of feeding delay and non-feeding delay is introduced; A BPNN method is used to set up a MIMO delay model based on the simulated data got from cell transmission model. Then, the control problem is formulated as an conflicted multi-objective control problem, and the IPNSGA-II based multi-objective compatible control algorithm is proposed to solve the control problem. Results show that the proposed algorithm is robust and capable of dealing with real-time oversaturated adjacent junctions control problem. The algorithm is tested in a network consisting of a core area of 11 oversaturated junctions. It can be concluded that the proposed method is much more effective in relieving oversaturation in a network than the isolated junction control strategy.
  • Keywords
    MIMO systems; backpropagation; delays; neural nets; road traffic; traffic control; BPNN method; IPNSGA-II; MIMO delay model; adjacent junctions control problem; cell transmission model; multiobjective compatible control; multiobjective control problem; nonfeeding delay; oversaturated adjacent intersections control; oversaturated adjacent junctions; Cities and towns; Communication system traffic control; Control systems; Delay; Intelligent transportation systems; Optimization methods; Robust control; Testing; Timing; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    978-1-4244-1396-6
  • Electronic_ISBN
    978-1-4244-1396-6
  • Type

    conf

  • DOI
    10.1109/ITSC.2007.4357674
  • Filename
    4357674