The report, a companion to the Volume II User Manual by the same name, describes the development and testing of predictive models for identifying individuals with a high risk of alcohol/related (A/R) crash involvement. Prospective analyses of the models' predictive capabilities using 1976 crash data indicated that, in general, they effectively identify the driver subgroups that have the highest risk of A/R crash involvement. Because most of the information used in the model development is readily available in most governmental jurisdictions, the models can be adapted for use in areas other than North Carolina.


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    Title :

    Techniques for Predicting High-Risk Drivers for Alcohol Countermeasures. Volume I: Technical Report


    Contributors:
    J. H. Lacey (author) / J. R. Stewart (author) / F. M. Council (author)

    Publication date :

    1979


    Size :

    155 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





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