• DocumentCode
    3500417
  • Title

    Vehicle operation safety monitoring using context based metrics: A case study

  • Author

    Ward, Jamie ; Worrall, Stewart ; Agamennoni, Gabriel ; Nebot, Eduardo

  • Author_Institution
    Intell. Transp. & Safety Syst. Group, Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    23-26 June 2013
  • Firstpage
    19
  • Lastpage
    24
  • Abstract
    This paper presents results of the deployment of vehicle safety systems developed by the Intelligent Vehicles and Safety Systems Group at the Australian Centre for Field Robotics. The technology was deployed within an active mine site in Australia undergoing standard open-cut mining operations. Data were collected from the vehicles and analysed in order to assess the overall safety and performance of the vehicle operations within the mine. Metrics calculated include distributions of vehicle paths along stretches of road for driving line analysis, and statistics around vehicle events such as overspeed and proximity to other vehicles.
  • Keywords
    mining equipment; safety; vehicle dynamics; context based metrics; driving line analysis; field robotics; intelligent vehicles; mine site; overspeed; standard open cut mining operations; vehicle events; vehicle operation performance; vehicle operation safety monitoring; vehicle paths; vehicle safety systems; Global Positioning System; Measurement; Monitoring; Roads; Safety; Standards; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2013 IEEE
  • Conference_Location
    Gold Coast, QLD
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2754-1
  • Type

    conf

  • DOI
    10.1109/IVS.2013.6629441
  • Filename
    6629441