• DocumentCode
    2515249
  • Title

    Accident reproduction system for the identification of human factors involved on traffic accidents

  • Author

    Siordia, Oscar S. ; De Diego, Isaac Martín ; Conde, Cristina ; Cabello, Enrique

  • Author_Institution
    Face Recognition & Artificial Vision Group, Univ. Rey Juan Carlos, Madrid, Spain
  • fYear
    2012
  • fDate
    3-7 June 2012
  • Firstpage
    987
  • Lastpage
    992
  • Abstract
    In this paper, a novel accident reproduction system for the identification of the main human factors involved on traffic accidents is presented. The system is based on a wireless in-vehicle Electronic Data Recorder that could be easily installed in any vehicle´s cabin for the monitoring of the three basic elements of traffic safety: driver, road and vehicle. The system has been tested in a highly realistic truck simulator with a group of professional drivers. The data, collected with the system at the moments before traffic accidents, were used to generate a novel database that was carefully analyzed by a group of traffic safety experts. The validation process shows the reliability of the developed system as a tool for the identification of the main causes of the monitored traffic accidents.
  • Keywords
    accidents; driver information systems; human factors; road safety; accident reproduction system; human factors; identification; professional drivers; road; traffic accidents; traffic safety; truck simulator; wireless in-vehicle electronic data recorder; Accidents; Data acquisition; Monitoring; Roads; Safety; Vehicles; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2012 IEEE
  • Conference_Location
    Alcala de Henares
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4673-2119-8
  • Type

    conf

  • DOI
    10.1109/IVS.2012.6232126
  • Filename
    6232126