With narrowing options for new mechanistic safety features, the mitigation of injuries and fatalities due to vehicle crashes is at a cross-road. The next significant decrease in roadway fatalities will require systems to assist drivers in preventing crashes, which requires an in-depth understanding of the driver, vehicle, and environment variables as each relates to the crash problem. The available tools to collect such data have traditionally fallen into two major categories: epidemiological and empirical. While these data collection tools are extremely valuable, they do not supply the detail of data necessary to fully understand the crash problem. Under the premise that researchers are in need of a new data collection tool to meet the data need for a major advance in death and injury prevention, this paper introduces and describes the 'naturalistic' data collection method. The richness of driver, vehicle, and environment variables collected with a naturalistic approach supports a multi-linear events sequence crash analysis approach. This will provide a new tool for understanding crashes, which will, in turn, provide a new tool for mitigating crashes.


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    Title :

    Naturalistic data collection: The tool to fulfill a multi-linear events sequence safety approach


    Contributors:


    Publication date :

    2009


    Size :

    13 Seiten, 3 Bilder, 7 Tabellen, 3 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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