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Using Neural Networks to Identify Driving Style and Headway Control Behavior of Drivers
dc.contributor.authorMacAdam, Charles C.
dc.contributor.authorBareket, Z.
dc.contributor.authorFancher, P.
dc.contributor.authorErvin, R. D.
dc.date.accessioned2010-03-01T19:21:16Z
dc.date.available2010-03-01T19:21:16Z
dc.date.issued1998
dc.identifier.citationVehicle System Dynamics Supplement 28 (1998). pp. 143-160 <http://hdl.handle.net/2027.42/65024>en_US
dc.identifier.issn0042-3114
dc.identifier.urihttps://hdl.handle.net/2027.42/65024
dc.description.abstractThis paper illustrates the use of neural network techniques for analyzing headway data collected from a group of 36 driving subjects during normal on-highway driving. Pattern recognition methods are used to identify different types of headway-keeping behavior exhibited by these drivers and their relative distributions. Possibilities for using neural networks to represent longitudinal control behavior of drivers are also considered and discussed.en_US
dc.format.extent1998270 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherSwets & Zeitlinger - Vehicle System Dynamicsen_US
dc.relation.ispartofseriesCharles MacAdamen_US
dc.subjectDriveren_US
dc.subjectNeural Networken_US
dc.subjectDriving Styleen_US
dc.subjectControl Behavioren_US
dc.subjectHeadway Controlen_US
dc.subjectAggressivenessen_US
dc.subjectPattern Recognitionen_US
dc.subjectLongitudinal Controlen_US
dc.titleUsing Neural Networks to Identify Driving Style and Headway Control Behavior of Driversen_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/2027.42/65024/1/MacAdam_et_al_1998_VSD_NNet_paper.pdf
dc.owningcollnameMechanical Engineering, Department of


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