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| Evaluation of Crash Risk via the Large Truck Crash Causation Study (LTCCS) and Naturalistic Driving Data
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| LTCCS and the large truck naturalistic driving data gathered in the Drowsy Driver Monitoring System Field Operational Test will be analyzed. A sophisticated understanding of traffic crashes and incidents recognizes that each specific scenario has its own distinctive blend of key events and contributing factors. Both the LTCCS and naturalistic driving data address full arrays of crash/incident scenarios, contributing factors, and conditions of occurrence. Some comparative findings may be applicable to traffic events in general, but the most important findings will likely be specific to particular scenarios. Accordingly, this project will focus primarily on several selected scenarios, although it will also include generalized comparisons. The project will include a generalized comparative analysis of the two data sets, then focus on three distinct and separate analyses: a crash/incident scenario (rear-end truck striking), a contributing factor (truck driver fatigue), and an environmental condition of occurrence (high traffic density). Each type of analysis will involve unique comparisons and should serve as a prototype for other analyses of similar nature within that dimension.
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