Fijol, R: Factors Involved in Commercial Vehicle Fatalities

Produktbeschreibung

Through out the United States a large amount of variability exists among states concerning commercial vehicle legislation in regard to speed limits. These laws are changed without a full understanding of their effects while thousands of motorists are killed every year by commercial vehicles. The high fatality rate of commercial vehicle crashes, and variability in state legislation create a need to better understand what factors play an important role in evaluating the relationship between increased speed limits and fatal commercial vehicle crashes.In this work, data are collected to determine what legislative speed limit increases have occurred, the rate of fatal commercial vehicle crashes, and the rate of several factors evaluated in this thesis. A regression model has been developed which evaluates three factors, vehicle miles traveled, the number of registered trucks, and population density. These factors were evaluated using data from 1995 to 2001. Due to the low number of fatal crashes, states were also grouped to increase the statistical significance of the regression model.
Through out the United States a large amount of variability exists among states concerning commercial vehicle legislation in regard to speed limits. These laws are changedwithout a full understanding of their effects while thousands of motorists are killed every year by commercial vehicles. The high fatality rate of commercial vehicle crashes, and variability in state legislation create a need to better understand what factors play an important role in evaluating the relationship between increased speed limits and fatal commercial vehicle crashes. In this work, data are collected to determine what legislative speed limit increases have occurred, the rate of fatal commercial vehicle crashes, and the rate of several factors evaluated in this thesis. A regression model has been developed which evaluates three factors, vehicle miles traveled, the number of registered trucks, and population density. These factors were evaluated using data from 1995 to 2001. Due to the low number of fatal crashes, states were also grouped to increase the statistical significance of the regression model. 

Autoreninfo

Fijol, Robert
Robert Fijol received his Undergraduate in Civil and his master?s Degree in transportation engineering from the University of Massachusetts. Robert currently works for the Federal Highway Administration in the area of Intelligent Transportation Systems (ITS), and as a Research Engineer.