Modeling human learning involved in car driving

P.H. Wewerinke

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)
    55 Downloads (Pure)

    Abstract

    In this paper, car driving is considered at the level of human tracking and maneuvering in the context of other traffic. A model analysis revealed the most salient features determining driving performance and safety. Learning car driving is modelled based on a system theoretical approach and based on a neural network approach. The aim of this research is to assess the relative merit of both approaches to describe human learning behavior in car driving specifically and in operating dynamic systems in general
    Original languageEnglish
    Title of host publicationProceedings of IEEE International Conference on Systems, Man and Cybernetics
    PublisherIEEE
    Pages1968-1973
    Number of pages6
    ISBN (Print)0-7803-2129-4
    DOIs
    Publication statusPublished - 2 Oct 1994
    EventIEEE International Conference on Systems, Man and Cybernetics 1994 - San Antonio, United States
    Duration: 2 Oct 19945 Oct 1994

    Conference

    ConferenceIEEE International Conference on Systems, Man and Cybernetics 1994
    CountryUnited States
    CitySan Antonio
    Period2/10/945/10/94

    Keywords

    • METIS-141703

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