• DocumentCode
    1894702
  • Title

    Agent-based control for adaptive high performance connected vehicle streams

  • Author

    Abbas, Muhammad Muddassir ; Mladenovic, Milos N.

  • Author_Institution
    Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • fYear
    2013
  • fDate
    2-6 Dec. 2013
  • Firstpage
    947
  • Lastpage
    948
  • Abstract
    Recent advancements in Cooperative Adaptive Cruise Control (CACC) technologies allows equipped vehicles to travel with much shorter headways on freeways, increasing freeway capacity and reducing fuel consumption. The technology, augmented by the capabilities made available through the connected vehicles framework, has opened the door for many significant developments in traffic management and control applications. In this paper, we present a novel multi-agent system approach to resolve conflicts based on a token-based dynamic priority index (PI) concept. Experimental results showed the ability of agents to adapt and form high performance streams in a connected vehicle environment as an emerging behavior.
  • Keywords
    adaptive control; multi-agent systems; traffic control; CACC; adaptive high performance connected vehicle streams; agent based control; connected vehicles framework; cooperative adaptive cruise control; freeway capacity; fuel consumption; multi-agent system; token based dynamic priority index; traffic control; traffic management; Fuels; Indexes; Mobile robots; Multi-agent systems; Traffic control; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Connected Vehicles and Expo (ICCVE), 2013 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICCVE.2013.6799936
  • Filename
    6799936