USING TRAFFIC CONVICTION CORRELATES TO IDENTIFY HIGH ACCIDENT-RISK DRIVERS

The California Department of Motor Vehicles, in its attempt to protect the public from drivers who represent unacceptably high accident risks, has developed a strategy for identifying high-risk drivers. One such system is the department's negligent operator point system. This study explores the viability of predicting accidents from equations constructed to predict convictions for the general driving population. The results suggest that identification of future accident-involved drivers can be improved by either of two approaches. The first is to construct equations based on a combination of prior accidents and citations. The second alternative involves multivariate approach in which the prediction equation consists of a two-variable vector of subsequent citations and accidents.

  • Availability:
  • Corporate Authors:

    Elsevier

    The Boulevard, Langford Lane
    Kidlington, Oxford  United Kingdom  OX5 1GB
  • Authors:
    • Gebers, M A
    • Peck, R C
  • Publication Date: 2003-11

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00963976
  • Record Type: Publication
  • Files: TRIS, ATRI
  • Created Date: Oct 2 2003 12:00AM