• DocumentCode
    677926
  • Title

    Quantitative Evaluation of Distracted Driving by Using a PrARX Model

  • Author

    Kato, Kazuhiko ; Tazaki, Yuichi ; Suzuki, Takumi ; Levedahl, Blaine ; Okuda, Haruhisa

  • Author_Institution
    Dept. of Mech. Sci. & Eng., Nagoya Univ., Nagoya, Japan
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    1912
  • Lastpage
    1917
  • Abstract
    This research develops a metric for the evaluation of an automobile driver´s distraction based on a mathematical driving behavior model. Driving data was collected in a driving simulator. The primary task was to maintain a constant following distance behind a lead vehicle. The secondary task, which brings about the distraction, is to operate the in-car touch panel. A PrARX model is used to describe the vehicle-following behavior. In the PrARX model, the weighting parameter represents the driver´s logical decision making and the auto-regressive exogenous models characterize the driver´s continuous-time motion control behavior. By calculating the entropy of the PrARX model, the driver´s distraction, which is considered a degradation of decision-making ability, is assessed in a quantitative manner.
  • Keywords
    automotive electronics; decision making; driver information systems; motion control; navigation; touch sensitive screens; PrARX model; automobile driver distraction; autoregressive exogenous models; constant following distance; distracted driving data; driver continuous time motion control behavior; driver logical decision making; driving simulator; entropy; in-car touch panel; lead vehicle; mathematical driving behavior model; quantitative evaluation; vehicle following behavior; Data models; Decision making; Entropy; Mathematical model; Motion control; Switches; Vehicles; Distraction estimation; Driving behavior model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.329
  • Filename
    6722082