• DocumentCode
    690512
  • Title

    Intelligent Traffic Light Based on Multi-agent System

  • Author

    Ahmed, Arwa Ibrahim ; El seed, Ashraf Gasm

  • Author_Institution
    Princes Nora Univ., Riyadh, Saudi Arabia
  • fYear
    2013
  • fDate
    23-24 Dec. 2013
  • Firstpage
    89
  • Lastpage
    92
  • Abstract
    Time spent idle in traffic effects productivity, commercial transactions, development of services and standard of living, since ´time´ is the real capital nowadays. In addition, idle traffic at intersections burns a large amount of fossil fuels thus threatening the environment in general and the health of passers. Thus, reducing time spent in vehicles has been the goal of much traffic control research. This research demonstrates an agent system that has been developed to replace traffic police men. It designed to sense the traffic at the intersection and determine the number of vehicles that are present. It is then able to decide whether to allow the vehicles to pass or to stop. The proposed agent also makes use of information from similar agents managing adjacent intersections in order to further increase the efficiency of the traffic flow.
  • Keywords
    multi-agent systems; traffic engineering computing; fossil fuels; intelligent traffic light; multiagent system; passer health; traffic control research; traffic flow; traffic police men; Artificial intelligence; Educational institutions; Junctions; Multi-agent systems; Object oriented modeling; Vehicle dynamics; Vehicles; Agent Simulation; Multi Agent System; inellgent traffic light;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Science Applications and Technologies (ACSAT), 2013 International Conference on
  • Conference_Location
    Kuching
  • Type

    conf

  • DOI
    10.1109/ACSAT.2013.25
  • Filename
    6836554