• DocumentCode
    2451232
  • Title

    An Approach of Controlling Both Freeway On-ramp and Mainline

  • Author

    Jiang, Nan ; Tang, Shoupeng

  • Author_Institution
    Sch. of Transp. Eng., Tongji Univ., Shanghai, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    683
  • Lastpage
    686
  • Abstract
    Considering that freeway mainline has not only high speed but also the ability to store large amount of vehicles, this research proposed a new approach for controlling both freeway on-ramp and mainline. Based on local ramp metering strategy ALINEA, this approach controls both on-ramp vehicles and mainline shoulder lane vehicles according to real-time traffic condition of the ramp and mainline so that to make good use of vehicle store capacity of mainline and at the same time reduce freeway travel time and ramp queue. Using simulation and comparison, the feasibility and effectiveness of this approach was proved.
  • Keywords
    road traffic; road vehicles; ALINEA local ramp metering strategy; freeway mainline control; freeway on-ramp vehicle control; real-time traffic condition; Artificial intelligence; Automotive engineering; Design engineering; Detectors; Intelligent vehicles; Logic design; Road vehicles; Shoulder; Traffic control; Transportation; ALINEA; mainline control; ramp metering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3615-6
  • Type

    conf

  • DOI
    10.1109/JCAI.2009.40
  • Filename
    5159095