Driver data as a predictor of crash involvement : a comparative analysis of heavy truck operators versus other drivers.

Author(s)
Mitter, E.L & Vilardo, F.J.
Year
Abstract

Data from the National Accident Sampling System (NASS) are used to construct linear regression models with prior recorded accidents as the dependent variable. The results of univariate and multivariate analysis demonstrate that heavy truck drivers form a discreet subset of all accident-involved drivers, whose accident history is more reliably predicted by a more parsimonious model as compared to drivers of other vehicles types.

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Publication

Library number
B 23762 (In: B 23751 [electronic version only]) /83/ IRRD 281825
Source

In: Proceedings of the 28th Annual Conferences of the American Assocation for Automotive Medicine, Denver, Colorado, October 1984; p.111-121, tab., ref.

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