The report describe an analysis of the application of Intelligent Vehicle Highway System (IVHS) technology to the reduction of rear-end crashes. The principal countermeasure concept examined is a headway detection (HD) system that would detect stopped or slower-moving vehicles in a vehicle's travel path. The report is organized to correspond to the major steps of the project methodology: Quantify baseline target crash problem size and describe target crash characteristics; Describe, analyze, and model target crash scenarios to permit understanding of principal crash causes, time and motion sequences, and potential interventions; Assess countermeasure technology and mechanisms of action to identify candidate solutions; Assess relevant human factors and other (e.g., environmental, vehicle) factors affecting crash scenario and potential countermeasure effectiveness; Model countermeasure action to predict effectiveness and identify critical countermeasure functional requirements; and Identify specific priority technological, human factors, and other R and D issues to be resolved. Case reconstructions and modeling indicate that most rear-end crashes are due to driver inattention, and that this inattention can in theory be addressed successfully by the HD countermeasure concept and available radar technologies.


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    Title :

    Assessment of IVHS Countermeasures for Collision Avoidance: Rear-End Crashes


    Contributors:
    R. R. Knipling (author) / M. Mironer (author) / D. L. Hendricks (author) / L. Tijeripa (author) / J. Everson (author)

    Publication date :

    1993


    Size :

    114 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





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