• DocumentCode
    3086337
  • Title

    On Discovering Road Traffic Information Using Virtual Reality Simulations

  • Author

    Ayres, Gareth ; Mehmood, Rashid

  • Author_Institution
    Sch. of Eng., Civil & Comput. Eng. Centre, Swansea Univ., Swansea
  • fYear
    2009
  • fDate
    25-27 March 2009
  • Firstpage
    411
  • Lastpage
    416
  • Abstract
    Transport systems play critical role in modern day economies and are prime example of highly dynamic complex systems. Current traffic monitoring systems do not provide timely and granular information which could sufficiently meet system analysis requirements. Simulation augmented with virtual reality (VR) has emerged as an important methodology to model and analyze transport systems. This paper-reports our ongoing work on developing an open source road traffic VR simulator based on microscopic and car-following models, designed using Java Monkey Engine. Subsequent to a brief literature review on traffic simulations, we give a description of the simulator design, its functionality, and the driver behaviour models used in the simulator. We then simulate few interesting traffic scenarios and analyse traffic flow,speed, occupancy and other results produced by the simulator. Finally, we conclude and outline the future work.
  • Keywords
    Java; automobiles; road traffic; traffic engineering computing; transportation; virtual reality; Java Monkey Engine; car-following model; driver behaviour model; dynamic complex system; microscopic model; open-source road traffic VR simulator; road traffic information discovery; road transportation system; system analysis requirements; traffic monitoring system; virtual reality simulation; Analytical models; Computational modeling; Computer simulation; Computerized monitoring; Engines; Java; Microscopy; Roads; Traffic control; Virtual reality; Road Traffic; Simulation; Virtual Reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-3771-9
  • Electronic_ISBN
    978-0-7695-3593-7
  • Type

    conf

  • DOI
    10.1109/UKSIM.2009.14
  • Filename
    4809800