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Application of Elementary Neural Networks and Preview Sensors for Representing Driver Steering Control Behaviour

dc.contributor.authorMacAdam, Charles C.
dc.contributor.authorJohnson, Gregory E.
dc.date.accessioned2010-03-01T19:05:39Z
dc.date.available2010-03-01T19:05:39Z
dc.date.issued1996
dc.identifier.citationVehicle System Dynamics, Vol. 25, No. 1, 1996. <http://hdl.handle.net/2027.42/65023>en_US
dc.identifier.issn0042-3114
dc.identifier.urihttps://hdl.handle.net/2027.42/65023
dc.description.abstractThis 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.en_US
dc.format.extent2584737 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherSwets & Zeitlinger - Vehicle System Dynamicsen_US
dc.subjectDriveren_US
dc.subjectControlen_US
dc.subjectSteeringen_US
dc.subjectNeural Networken_US
dc.subjectBehavioren_US
dc.subjectPreviewen_US
dc.subjectVehicle Controlen_US
dc.subjectAdaptive Controlen_US
dc.subjectLearningen_US
dc.subjectPreview Sensoren_US
dc.titleApplication of Elementary Neural Networks and Preview Sensors for Representing Driver Steering Control Behaviouren_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelMechanical Engineering
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUMTRIen_US
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/65023/1/MacAdam & Johnson 1996 VSD NNet Control paper.pdf
dc.owningcollnameMechanical Engineering, Department of


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