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Safety benefits of stability control systems for tractor-semitrailers.

File Language:
English


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  • Edition:
    Final report; Sept. 2006-May 2008.
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  • Abstract:
    This study was conducted by the University of Michigan Transportation Research Institute ; (UMTRI) under a Cooperative Agreement between NHTSA and Meritor WABCO to examine ; the performance of electronic stability control (ESC) systems, and roll stability control (RSC) ; systems for heavy-truck tractor-semitrailers. The study is based on the analysis of independent ; crash datasets using engineering and statistical techniques to estimate the probable safety ; benefits of stability control technologies for 5-axle tractor-semitrailer vehicles. The ; conventional approach for assessing the safety benefits of vehicle technologies is to analyze ; crash datasets containing data on the safety performance of vehicles equipped with the ; technology of interest. Because the deployment of the stability technologies for large trucks is ; in its infancy, national crash databases do not yet have a sufficient amount of factual data that ; can be directly linked to the performance of the technology. Therefore a novel method of ; examining the potential benefits of these systems was used. Crash scenarios that could likely ; benefit from the technologies were selected from national crash databases and the probable ; effectiveness of each technology was estimated. The analysis in this study did not have the ; advantage of examining representative crash datasets that contain identifiable data from vehicles ; equipped with the technology. Therefore, the analysis was based on probable outcome ; estimates derived from hardware-in-the-loop simulation, field test experience, expert panel ; assessment, and fleet crash data and these methods were used to estimate the safety benefits ; from the national crash data population.
  • Format:
    PDF
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  • File Type:
    Filetype[PDF - 2.05 MB]
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  • Main Document Checksum:
    urn:sha256:8d6e8b0b54c1bb91bda0c793bd91119e4ebb182a949b33343d06f3099a12cb42
File Language:
English
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