• DocumentCode
    3273595
  • Title

    Anomaly detection in driving behaviour by road profiling

  • Author

    Agamennoni, Gabriel ; Ward, Jon R. ; Worrall, Stewart ; Nebot, Eduardo M.

  • Author_Institution
    Australian Centre for Field Robot., Univ. of Sydney, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    23-23 June 2013
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    This paper presents a statistical method for detecting anomalous driving behavior by analyzing cross-sectional profiles of the road. A profile captures the way vehicles normally traverse the road; a statistical hypothesis test determines whether the observed behavior is anomalous. Experimental results on genuine data collected by a fleet of vehicles demonstrates the potential of this new method.
  • Keywords
    road safety; road traffic; statistical analysis; anomalous driving behavior detection; road profiling; statistical hypothesis test; statistical method; Australia; Conferences; Cost function; Global Positioning System; Probability; Roads; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium Workshops (IV Workshops), 2013 IEEE
  • Conference_Location
    Gold Coast, QLD
  • Print_ISBN
    978-1-4799-0794-6
  • Type

    conf

  • DOI
    10.1109/IVWorkshops.2013.6615221
  • Filename
    6615221
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3273595