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. (Wassmann)


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    Title :

    The fitting of linear models to driver response records


    Additional title:

    Das Anpassen linearer Modelle an Messwerte der Fahrerbelastung


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

    Published in:

    Publication date :

    1982


    Size :

    11 Seiten, 15 Bilder, 3 Tabellen, 13 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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