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The Large-Truck Crash Causation Study (LTCCS) is a data collection project conducted by the National Highway Traffic Safety Administration (NHTSA) and the Federal Motor Carrier Safety Administration (FMCSA) of the United States Department of Transportation (USDOT). NHTSA's National Center for Statistics and Analysis (NCSA) worked together with FMCSA to develop the LTCCS, which was conducted within the National Automotive Sampling System (NASS) that NCSA operates. The tables in this report were created through the use of the data collected in the LTCCS. While the LTCCS collected data on approximately 1,000 variables, the tables presented in this report comprise only a sample of these variables. The complete LTCCS variable database can be used jointly to examine a large number of issues surrounding large-truck crashes. One section in the report focuses on “crash-level” variables, which provide counts of crashes that occurred under certain characteristics (i.e., crash counts stratified according to how many vehicles were in the crash). The next section includes tables that are presented at the “vehicle level.” These tables thus provide counts of the number of vehicles involved in certain types of crashes (i.e., vehicle counts that have been stratified by the injury severity of the person most severely injured in each vehicle). The tables in the following section are presented at the “driver level.” These tables display counts of drivers that were involved in certain crash scenarios (i.e., the number of drivers involved in the crashes, stratified by the age of the driver). The appendix includes tables and computer programs for calculating standard errors and confidence intervals using LTCCS data.
The Large Truck Crash Causation Study (LTCCS) is the largest and most ambitious effort to date to collect data on medium and heavy truck crashes. The purpose of the LTCCS is to identify and understand the factors that contribute to truck crashes in order to develop crash countermeasures that will be effective in reducing the number and severity of truck crashes. The University of Michigan’s (UMTRI) Trucks Involved in Fatal Accidents (TIFA) survey covers all medium and heavy trucks involved in a fatal crash. Nominally, all fatal crashes in LTCCS should appear in TIFA. LTCCS fatal crashes were matched to TIFA cases. Then the TIFA cases were re-examined independently, using the police report and any other information available, to attempt to code certain central crash variables in the LTCCS. The purpose was to determine the extent to which the central LTCCS variables could be coded using only the materials available in the TIFA survey.The results were mixed. At the highest level, agreement was quite good. Critical reason category agreed in 90.1 percent of the matched cases for which critical reason could be determined. Critical event category agreed in 86.1 percent of cases. However, there were higher rates of disagreement between LTCCS and TIFA at finer levels of detail and missing data rates were higher in the TIFA review cases. This result is not surprising in light of the much greater resources devoted to each case in the LTCCS project.