• DocumentCode
    2297660
  • Title

    Modelling and Optimisation of a Traffic Intersection Based on Queue Theory and Markov Decision Control Methods

  • Author

    Soh, Azura Che ; Marhaban, Mohammad Hamiruce ; Khalid, Marzuki ; Yusof, Rubiyah

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Universiti Putra Malaysia, Serdang
  • fYear
    2007
  • fDate
    27-30 March 2007
  • Firstpage
    478
  • Lastpage
    483
  • Abstract
    Traffic models play an important role in both today´s traffic research and in many traffic applications such as traffic flow prediction, incident detection and traffic control. Modelling traffic dynamics and optimising the control signal are two interrelated problems. Modelling provides fundamental understanding of traffic dynamics and behaviour. In this paper, traffic signal is modelled as a M/M/l queueing theory. The validation of a simulation model (M/M/l queue) with different arrival rates is presented. From the result, a traffic light model was developed by applying M/M/l queue theory for single intersection. In the optimisation strategy, the Markov decision control is applied to minimize queue length and waiting time. Simulation results show the excellent potential of this approach
  • Keywords
    Markov processes; decision theory; optimisation; queueing theory; road traffic; traffic control; M/M/l queueing theory; Markov decision control; incident detection; optimisation strategy; queue theory; traffic control; traffic dynamics; traffic flow prediction; traffic intersection; Adaptive control; Communication system traffic control; Delay; Optimization methods; Predictive models; Queueing analysis; Telecommunication control; Timing; Traffic control; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling & Simulation, 2007. AMS '07. First Asia International Conference on
  • Conference_Location
    Phuket
  • Print_ISBN
    0-7695-2845-7
  • Type

    conf

  • DOI
    10.1109/AMS.2007.64
  • Filename
    4148707