• DocumentCode
    577826
  • Title

    A green wave band model considering variable queue clearance time

  • Author

    Wang, ShiMing ; Xu, JianMin ; Yang, GuiGen ; Chen, ChangJia

  • Author_Institution
    Sch. of Civil Eng. & Transp., South China Univ. of Technol., Guangzhou, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    3025
  • Lastpage
    3030
  • Abstract
    The variable queue clearance time model is derived by analyzing the relation between the adjacent upstream intersection´s departure traffic flow pattern and the offset time. To take the variable queue clearance time into consideration, the proposed revised MAXBAND model combines the variable queue clearance time model and traditional MAXBAND model. After the process of variant substitute, the revised MAXBAND model can still be solved by classical MILP solution method. An example with two intersections is given, and the results of the proposed model and simulation indicate that, the revised model is better than traditional model in arterial control since the consideration of variable queue clearance time. In the example arterial, the revised model increases the effective green-wave bandwidth by 31.6%, and decreases the average arterial delay by 12.6%.
  • Keywords
    delay systems; integer programming; linear programming; queueing theory; road traffic control; MAXBAND model; MILP solution method; adjacent upstream intersection departure traffic flow pattern; arterial control; arterial delay; green wave band model; green-wave bandwidth; offset time; variable queue clearance time model; variant substitute; Analytical models; Arteries; Bandwidth; Computational modeling; Educational institutions; Timing; Vehicles; MAXBAND model; arterial coordinated control; traffic engineering; traffic simulation; variable queue clearance time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358390
  • Filename
    6358390