Detection and Avoidance of Collisions: the REACT Model

This report presents research which developed and tested a model of car following based on perceptual information to the human driver. This model uses visual angle and change in visual angle to regulate speed during car following. Using a driving simulator, human factors experiments looked at performance in car following to speed variations defined by sine wave oscillations in speed, sum of sine wave oscillations, and ramp function. The model also used real world driving data and applied it to 6 driving events.

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  • Supplemental Notes:
    • Publication Date: April 2004. California PATH Program, Institute of Transportation Studies University of California, Berkeley CA. Remarks: Also available on the World Wide Web at http://www.path.berkeley.edu/PATH/Publications/PATH/index.html. Format: website
  • Corporate Authors:

    University of California, Berkeley

    Berkeley, CA  United States  94720-1720

    University of California, Riverside

    Department of Psychology, 900 University Avenue
    Riverside, CA  United States  92521

    University of California, Berkeley

    California PATH Program, Institute of Transportation Studies
    Richmond Field Station, 1357 South 46th Street
    Richmond, CA  United States  94804-4648

    California Department of Transportation

    1120 N Street
    Sacramento, CA  United States  95814
  • Authors:
    • Sauer, Craig
    • Andersen, George J
    • Saidpour, Asad
  • Publication Date: 2004

Media Info

  • Media Type: Digital/other
  • Pagination: v, 22 p.
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01001598
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Report/Paper Numbers: UCB-ITS-PRR-2004-7
  • Files: CALTRANS, TRIS, STATEDOT
  • Created Date: Jul 7 2005 12:00AM