• DocumentCode
    3527452
  • Title

    Examining the impact of driving style on the predictability and responsiveness of the driver: Real-world and simulator analysis

  • Author

    Doshi, Anup ; Trivedi, Mohan M.

  • Author_Institution
    Lab. for Intell. & Safe Automobiles (LISA), Univ. of California, La Jolla, CA, USA
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    232
  • Lastpage
    237
  • Abstract
    Confronted with the broad range of personalities of drivers on the roads today, in-vehicle technology must be able to function either in spite of or in harmony with each driver´s style. Individual drivers act and respond in different manners under various conditions, and many Driver Assistance Systems would benefit from some measure of the driver´s likely behaviors in these conditions. In this study we present several measures of driving style and show how they correlate with the predictability and responsiveness of the driver in several experimental conditions. In the first two experiments, one simulator and one real-world, we find that “aggressive” drivers are more consistent in behaviors and significantly more predictable than “non-aggressive” drivers. In the third experiment, however, we find that though “non-aggressive” drivers are less predictable, they are also significantly more receptive of feedback from Driver Assistance Systems. These results could affect the design, effectiveness, and feedback mechanisms of future Driver Assistance Systems.
  • Keywords
    driver information systems; psychology; aggressive driver; driver assistance system; driver predictability; driver responsiveness; driving style; in-vehicle technology; nonaggressive driver; real world analysis; Acceleration; Analytical models; Delay; Feedback; Intelligent sensors; Intelligent vehicles; Predictive models; Road safety; Vehicle driving; Vehicle safety;
  • 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.2010.5547969
  • Filename
    5547969