• DocumentCode
    2537017
  • Title

    Multi-vehicles interaction graph model for cooperative collision warning system

  • Author

    Sebastian, Alvin ; Tang, Maolin ; Feng, Yanming ; Looi, Mark

  • Author_Institution
    Fac. of Inf. Technol., Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    929
  • Lastpage
    934
  • Abstract
    Cooperative collision warning system for road vehicles, enabled by recent advances in positioning systems and wireless communication technologies, can potentially reduce traffic accident significantly. To improve the system, we propose a graph model to represent interactions between multiple road vehicles in a specific region and at a specific time. Given a list of vehicles in vicinity, we can generate the interaction graph using several rules that consider vehicle´s properties such as position, speed, heading, etc. Safety applications can use the model to improve emergency warning accuracy and optimize wireless channel usage. The model allows us to develop some congestion control strategies for an efficient multi-hop broadcast protocol.
  • Keywords
    Global Positioning System; alarm systems; automated highways; broadcast channels; directed graphs; protocols; road accidents; road safety; road traffic; road vehicles; telecommunication congestion control; wireless LAN; wireless channels; GPS; IEEE 802.11p DSRC/WAVE standard; congestion control strategy; cooperative collision warning system; emergency warning; global positioning system; intelligent transportation system; multihop broadcast protocol; multivehicle interaction directed-graph model; road safety application; road vehicle; traffic accident reduction; wireless channel usage optimization; wireless communication technology; Alarm systems; Australia; Communications technology; Global Positioning System; Protocols; Road accidents; Road safety; Road vehicles; Sensor systems; Wireless communication; cooperative collision warning; graph model; vehicles interaction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2009 IEEE
  • Conference_Location
    Xi´an
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-3503-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2009.5164404
  • Filename
    5164404