APPLICATION OF ELEMENTARY NEURAL NETWORKS AND PREVIEW SENSORS FOR REPRESENTING DRIVER STEERING CONTROL BEHAVIOUR

This paper demonstrates the use of elementary neural networks for modelling and representing driver steering behaviour in path regulation control tasks. Areas of application include uses by vehicle simulation experts who need to model and represent specific instances of driver steering control behaviour, potential on-board vehicle technologies aimed at representing and tracking driver steering control behaviour over time, and use by human factors specialists interested in representing or classifying specific families of driver steering behaviour. Example applications are shown for data obtained from a driver/vehicle numerical simulation, a basic driving simulator, and an experimental on-road test vehicle equipped with a camera and sensor processing system.

  • Availability:
  • Corporate Authors:

    Swets & Zeitlinger

    P.O. Box 825
    2160 SZ Lisse,   Netherlands 
  • Authors:
    • MacAdam, C C
    • Johnson, G E
  • Publication Date: 1996-1

Language

  • English

Media Info

  • Features: References;
  • Pagination: p. 3-30
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00720838
  • Record Type: Publication
  • Source Agency: Transport Research Laboratory
  • Files: ITRD, ATRI
  • Created Date: May 24 1996 12:00AM