Browsing by Author "Stone, Scott R."

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    Expanded Research and Development of an Enhanced Rear Signaling System for Commercial Motor Vehicles
    Schaudt, William A.; Bowman, Darrell Scott; Stone, Scott R.; Perez, Matthew C. (United States. Federal Motor Carrier Safety Administration. Office of Analysis, Research, and Technology, 2014-04)
    The purpose of the current study was to further develop and refine the prototype Enhanced Rear Signaling (ERS) system that was developed during the previous Phase III effort. Expanded development efforts for the ERS system included modification of the system into a unit designed for simple commercial motor vehicle (CMV) installation, collision-warning activation refinements, and rear lighting brightness adjustments for nighttime conditions. During the ERS system development process, the team successfully completed necessary modifications for improved CMV installation. Formal closed test-track and real-world testing were then performed to determine the ERS system collision-warning activation performance. Ultimately, the ERS system performed with a 100 percent correct detection rate and an 85.43 percent correct rejection rate during real-world testing. During all ERS system activations, no unsafe following vehicle driver reactions/behaviors were observed, indicating a promising system for follow-on research. A nighttime brightness level was selected at the conclusion of a ratings study and carried on into nighttime real-world testing. During ERS system nighttime activations, there were also no unsafe following-vehicle driver reactions/behaviors observed. Overall, the research team found that the ERS system is ready for further evaluation in a field operational test (FOT).
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    Intersection Decision Support: Evaluation of a Violation Warning System to Mitigate Straight Crossing Path Collisions
    Neale, Vicki L.; Perez, Miguel A.; Doerzaph, Zachary R.; Lee, Suzanne E.; Stone, Scott R.; Dingus, Thomas A. (Virginia Center for Transportation Innovation and Research, 2006-04)
    This project entailed the design, development, testing, and evaluation of intersection decision support (IDS) systems to address straight crossing path (SCP) intersection crashes. This type of intersection crash is responsible for more than 100,000 crashes and thousands of fatalities each year. In developing these IDS systems for both signalized and stop-controlled intersections, a top-down systems approach was used that determined the necessary system functions and evaluated the capability of different technologies to perform those functions. Human factors tests were also conducted that evaluated the effectiveness of warning algorithms and infrastructure-based driver-infrastructure interfaces in eliciting a stopping response from drivers about to be involved in an SCP intersection crash. Results indicated that further technological development is needed for the sensing and intersection state IDS functions. Furthermore, infrastructure-based warning interfaces tested were greatly outperformed by previously-tested in-vehicle warnings. Thus, future research on IDS systems should focus on their infrastructure-cooperative configuration, where the system supports an in-vehicle warning.