Model analysis of adaptive car driving behavior

P.H. Wewerinke

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    Abstract

    This paper deals with two modeling approaches to car driving. The first one is a system theoretic approach to describe adaptive human driving behavior. The second approach utilizes neural networks. As an illustrative example the overtaking task is considered and modeled in system theoretic terms. Model results are used to teach a neural network. The results show that a neural network is able to learn this task even when certain task variables change. The next step is to perform an experiment with real human operators in order to assess the validity of both modeling approaches and their relative merit
    Original languageUndefined
    Title of host publicationIEEE International Conference on Systems, Man and Cybernetics
    Place of PublicationBeijing, China
    PublisherIEEE
    Pages2558-2563
    Number of pages6
    ISBN (Print)9780780332805
    DOIs
    Publication statusPublished - 14 Oct 1996
    EventIEEE International Conference on Systems, Man and Cybernetics 1996 - Beijing, China, Beijing, China
    Duration: 14 Oct 199617 Oct 1996

    Publication series

    Name
    PublisherIEEE
    Volume4

    Conference

    ConferenceIEEE International Conference on Systems, Man and Cybernetics 1996
    CityBeijing, China
    Period14/10/9617/10/96
    Other14-17 Oct. 1996

    Keywords

    • IR-31135
    • METIS-141777

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