• DocumentCode
    3360408
  • Title

    Optimal design for traffic light and simulation based on MATLAB

  • Author

    Jianhua, Wu ; Ning, Liu ; Enhong, Xing ; Xin, Zhao

  • Author_Institution
    Sch. of Mech. Eng., Tianjin Univ. of Technol., Tianjin, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    2854
  • Lastpage
    2857
  • Abstract
    With the developing of urbanization, as well as the significant increasing of automobile in city, the phenomenon of traffic jam has occurred frequently. As a result, municipal administration has widened the city´s trunk line, the traffic management bureau has increased traffic lights at crossroads, but we could not see much great change in city traffic condition. These measures, for instance, how to make use of existing urban roads more effectively, how to regulate the time of the traffic lights, and how to use the minimum investment to ease the city´s jam, possess realistic significance. The primary goal of this paper based on the optimization of phase and time of traffic lights is to achieve the optimal research on both sides not only “Green light wave band” but also “Inverse green light wave band”, and simulates optimization of going through inverse green light wave band by using the software of MATLAB according to the constraint discriminate of bi-directional green light wave band what we calculated in the paper.
  • Keywords
    graph theory; optimisation; road traffic; Matlab; bi-directional green light wave band; city traffic condition; green light wave band; inverse green light wave band; optimization; traffic jam phenomenon; traffic light design; traffic light simulation; traffic management bureau; Cities and towns; Constraint optimization; Investments; Lighting control; MATLAB; Mechanical engineering; Optimal control; Roads; Traffic control; Vehicles; Optimal design; Simulation; Traffic light;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536285
  • Filename
    5536285