• DocumentCode
    3530032
  • Title

    Neuropsychological approach to identifying risky driving behaviors

  • Author

    Danno, Mikio ; Wakabayashi, Akio

  • Author_Institution
    TOYOTA InfoTechnology Centre Co., Ltd., Tokyo, Japan
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    71
  • Lastpage
    77
  • Abstract
    Driving is a complex behavior that can be affected by an individual\´s emotional and cognitive status, and the environment. Since a neuropsychological approach is useful in identifying the complex combination of factors that may cause risky driving behaviors, and because subjective perceptions may misguide the decision-making process, this approach based on brain wave indexes was examined. The merit of this approach is that it enables any member to make decisions regarding an individual\´s ability to drive, despite insufficient information. First, we used a questionnaire survey to identify "risky drivers" and the relationship between traffic accidents and the drivers\´ psychosomatic state before traffic accidents. As a result, we found that risky drivers, who made up only 13.6% of respondents, accounted for 56.2% of the total number of accidents. We identified the "risky psychosomatic state" related to the risky driving behaviors. Finally, we proposed a direction for research concerning the neuropsychological approach based on brain wave indexes. These results can be incorporated into advanced driving support systems that grasp the driving environment, control the driver\´s psychosomatic state to alleviate his risky psychological traits, and intervene to handle the car inappropriately.
  • Keywords
    behavioural sciences computing; cognition; decision making; driver information systems; psychology; road accidents; road traffic; brain wave index; cognition; decision-making; driving support system; neuropsychological approach; risky driving behavior identification; risky psychosomatic state; traffic accident; Appraisal; Cognition; Computer crashes; Decision making; Human factors; Intelligent vehicles; Psychology; Road accidents; Road safety; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2010 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-7866-8
  • Type

    conf

  • DOI
    10.1109/IVS.2010.5548141
  • Filename
    5548141