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DRIVER MODELING IN THE DESIGN OF REAR-END COLLISION WARNING SYSTEMS

Several driver-performance factors contribute to rear-end collisions: driver inattention, perception/ reaction time, and limitations in the human visual system Although many evaluations have examined driver response to various Rear- end Collision Avoidance Systems (RECAS) display and algorithm alternatives, little research has considered creating a quantitative model of driver performance to evaluate design alternatives. Current considerations of driver behavior in developing warning algorithms tend to ignore the fundamental problem of driver inattention and assume a fixed driver reaction time with no further adjustment after the initial response. A more refined model of driver response to rear-end crash scenarios can identify more appropriate and timely information to be displayed to the driver. The driver's attention distribution, information extraction and judgement process and the reaction process are all incorporated into a conceptual model of the driver. The model developed predicts the closed- loop nature of collision response performance and explains how the driver might use RECAS warnings

  • Supplemental Notes:
    • Publication Date: 2000 Transportation Research Board, Washington DC Remarks: Presentation at the 79th annual meeting of the Transportation Research Board, Washington, D.C., January 2000
  • Corporate Authors:

    Texas Transportation Institute

    Texas A&M University System, 3135 TAMU
    College Station, TX  United States  77843-3135
  • Authors:
    • Brown, Timothy L
    • Lee, John D
    • McGehee, Daniel V
  • Conference:
  • Date: 2000

Language

  • English

Media Info

  • Pagination: 17 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00788767
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: PATH
  • Created Date: Mar 23 2000 12:00AM