The authors believe that we should develop more absolute predictors for accident proneness, which is a negligable feat; therefore, expand driver control programs based on accident prediction at the current level of accuracy. Develop a program increasing safety and mobility. Examination of available percentage digures, which are converted to frequencies, and illumination of prediction arrors were means for expelling acceptance of accident proneness explanations. A methematical model created hyoothetical accident distributions using Spearman rho values. A survey of the literature and its data was compared with the statistical model. The model reveals reduced classification errors with higher correlations, but research reveals a negative ability to predict accidents in the driver population. Continue the systematic programs aimed at the road, the car and the normal but fallible driver. /MW/

  • Corporate Authors:

    University of North Carolina, Chapel Hill

    Highway Safety Research Center
    Chapel Hill, NC  United States  27599
  • Authors:
    • Campbell, B J
    • Levine, D
  • Publication Date: 0

Media Info

  • Features: Figures; References; Tables;
  • Pagination: 11 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00099007
  • Record Type: Publication
  • Source Agency: National Safety Council Safety Research Info Serv
  • Files: TRIS
  • Created Date: Nov 5 1975 12:00AM