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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    Titel :

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


    Beteiligte:
    R. R. Knipling (Autor:in) / M. Mironer (Autor:in) / D. L. Hendricks (Autor:in) / L. Tijeripa (Autor:in) / J. Everson (Autor:in)

    Erscheinungsdatum :

    1993


    Format / Umfang :

    114 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch





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