The distribution and prediction of driver accident frequencies.

Author(s)
Peck, R.C. R.S. McBride & R.S. Coppin.
Year
Abstract

A large random sample of drivers was identified from California Department of Motor Vehicles (DMV) files and biographical and driver record information was extracted for analysis. Analysis indicated that the accident and traffic conviction frequencies were not Poisson-distributed and that the frequencies in different time periods were significantly correlated. The study findings supported the hypothesis that drivers differ in accident liability or proneness.

Request publication

5 + 9 =
Solve this simple math problem and enter the result. E.g. for 1+3, enter 4.

Publication

Library number
A 9651 T IRRD 201109
Source

Accident Analysis and Prevention, Vol. 2 (1971), No. 4 (March), p. 243-299

Our collection

This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.