Return to the VTRC Home Page
Click here to print the printer friendly version of this page.
 
Page Title: VTRC Report Detail

The contents of this report reflect the views of the author(s), who is responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Virginia Department of Transportation, the Commonwealth Transportation Board, or the Federal Highway Administration. This report does not constitute a standard, specification, or regulation. Any inclusion of manufacturer names, trade names, or trademarks is for identification purposes only and is not to be considered an endorsement.

Title:

Traffic and Geometric Characteristics Affecting the Involvement of Large Trucks in Accidents: Volume 1
Authors:
Joshua, Sarath C.
Nicholas J. Garber
Year: 1991
VTRC No.: 91-R17
Abstract: Recent trends indicate that vehicle miles traveled for large trucks is increasing at a higher rate than for other vehicles. The resulting competition between large trucks and other vehicles for highway space can be expected to result in more multi-vehicle collisions involving large trucks. The likelihood of these collisions causing severe injuries to vehicle occupants will also increase with the trend towards the use of smaller automobiles and heavier and larger trucks. In order to develop countermeasures that will alleviate this problem, it is first necessary to identify the characteristics of large-truck accidents and the role of traffic and geometric variables in such accidents. This study investigated the major factors associated with large truck accidents including the effect of highway facility type and highway geometry, and the development of mathematical models relating the factors with accident rates and probability of occurrence. This first volume documents the methodology of the study, the results of a statistical analysis of large-trucks historical accident data, the results of a fault tree analysis. This second volume gives a detailed description of the development of the regression and logistic models.