• DocumentCode
    612903
  • Title

    Multi-agent based architecture for virtual reality intelligent simulation system of vehicles

  • Author

    Yue Yu ; El Kamel, Abdelkader ; Guanghong Gong

  • Author_Institution
    LAGIS, Ecole Centrale de Lille, Villeneuve-d´Ascq, France
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    597
  • Lastpage
    602
  • Abstract
    Most existed researches on traffic simulation with virtual reality are mainly concentrated on the visualization or the real-time simulation to create immersion experiences in virtual world, but little attention has been paid on system modeling and formal specification of traffic simulation. Based on multi-agent technology, Virtual Reality Intelligent Simulation System of Vehicles (VR-ISSV) is proposed to investigate the modeling method of vehicles simulation system, with the advantages of reusability, scalability and flexibility. Firstly, the framework modeling is introduced to depict the general intelligent simulation system. Then, intelligent vehicle agent and environment agent are presented for the simulation of interactions among the vehicles, the traffic situation and the environment. Finally, the application results of the proposed system are realized.
  • Keywords
    automated highways; digital simulation; multi-agent systems; road traffic; road vehicles; software reusability; traffic engineering computing; virtual reality; VR-ISSV flexibility; VR-ISSV scalability; Virtual Reality Intelligent Simulation System of Vehicles; environment agent; intelligent simulation system; intelligent vehicle agent; multiagent based architecture; software reusability; vehicles simulation system modeling method; Artificial intelligence; Intelligent vehicles; Solid modeling; Three-dimensional displays; Vehicles; Virtual reality; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2013 10th IEEE International Conference on
  • Conference_Location
    Evry
  • Print_ISBN
    978-1-4673-5198-0
  • Electronic_ISBN
    978-1-4673-5199-7
  • Type

    conf

  • DOI
    10.1109/ICNSC.2013.6548806
  • Filename
    6548806