Abstract
The majority of previous research and analysis has indicated driverrelated factors as the main cause of most commercial vehicle-related crashes. The main goal of the current project is to provide greater concentration on the commercial driver, so as to have the most significant impact on the number of crashes. The ultimate outcome of this study is to save lives, prevent injuries, and prevent property damage associated with commercial vehicle-related crashes. To accomplish this crash reduction goal, the current study combines and expands on two previous research efforts: development of the Inspection Selection System (ISS) and a project analyzing the use of driver traffic conviction data to identify high-safety-risk motor carriers better. To accomplish greater focus on the commercial driver, the first objective of the current project was to analyze further the data and weightings associated with the carrier driver conviction measure created through the conviction data study. With use of results from this first objective, the second objective of the present project was to then integrate the carrier driver conviction measure into the current ISS and conduct a pilot test of this new ISS algorithm, termed ISS-D. Results from the pilot test indicate an approximate 10% increase in driver out-of-service rates after the ISS-D algorithm implementation. In addition, there was an almost doubling of the driver out-of-service rate when the ISS-D recommended the inspection.
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