A Probabilistic Model and a Software Tool for AVCS Longitudinal Collision/Safety

This paper develops a probabilistic model and a software tool for analyzing longitudinal collision/safety between two automated vehicles. The input parameters are the length of the gap between the two vehicles, the common speed prior to the failure, the reaction delay of the following vehicle and a bivariate joint distribution of the deceleration rates of the two vehicles. The output includes the probability of a collision and also the probability distribution of the relative speed at collision time. This model was used to compare the safety consequences associated with the platooning and "free-agent" vehicle-following rules. It was found that the free-agent vehicle following rule implemented with a potential technology of fast and accurate emergency deceleration, under some reasonable conditions, can virtually avoid collisions while offering a high freeway capacity previously thought possible only under the platooning rule.

  • Record URL:
  • Corporate Authors:

    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

    Division of Research, Innovation and System Information
    1727 30th Street, MS 83
    Sacramento, CA  United States  95816
  • Authors:
    • Hall, Randolph W
    • Tsao, Jacob
  • Publication Date: 1993-6


  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 34p
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01584244
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Report/Paper Numbers: UCB-ITS-PWP-93-2
  • Created Date: Dec 2 2015 6:18PM