Using traffic conviction correlates to identify high accident-risk drivers.

Author(s)
Gebers, M.A. & Peck, R.C.
Year
Abstract

This study further explores previous research involving the variability of predicting accidents from equations constructed to predict convictions for the general driving population. Models that better identify drivers at increased risk of future accident involvement will increase the number of accidents prevented through post license control actions. (A)

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Publication

Library number
C 35356 [electronic version only]
Source

Sacramento, CA, California Department of Motor Vehicles CAL-DMV, 2000, IX + 26 p., 18 ref.; CAL-DMV-RSS-00-187

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