An optimal model parameter selection algorithm has been employed in the fitting of linear driver models to a range of experimentally recorded driving data. The driving tasks analyzed were performed in a driving simulator and consisted of lane tracking and obstacle avoidance. It is shown that appreciable differences in driver model performance can result from selecting either an open-loop or a closed-loop analysis framework. The effects of averaging the experimental data before processing are also highlighted with specific examples.


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    Title :

    The Fitting of Linear Models to Driver Response Records


    Additional title:

    Sae Technical Papers


    Contributors:
    Billing, A. M. (author) / Reid, L. D. (author) / Graf, W. O. (author)

    Conference:

    SAE International Congress and Exposition ; 1982



    Publication date :

    1982-02-01




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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