Using Neural Networks to Identify Driving Style and Headway Control Behavior of Drivers
dc.contributor.author | MacAdam, Charles C. | |
dc.contributor.author | Bareket, Z. | |
dc.contributor.author | Fancher, P. | |
dc.contributor.author | Ervin, R. D. | |
dc.date.accessioned | 2010-03-01T19:21:16Z | |
dc.date.available | 2010-03-01T19:21:16Z | |
dc.date.issued | 1998 | |
dc.identifier.citation | Vehicle System Dynamics Supplement 28 (1998). pp. 143-160 <http://hdl.handle.net/2027.42/65024> | en_US |
dc.identifier.issn | 0042-3114 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/65024 | |
dc.description.abstract | This 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.extent | 1998270 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.publisher | Swets & Zeitlinger - Vehicle System Dynamics | en_US |
dc.relation.ispartofseries | Charles MacAdam | en_US |
dc.subject | Driver | en_US |
dc.subject | Neural Network | en_US |
dc.subject | Driving Style | en_US |
dc.subject | Control Behavior | en_US |
dc.subject | Headway Control | en_US |
dc.subject | Aggressiveness | en_US |
dc.subject | Pattern Recognition | en_US |
dc.subject | Longitudinal Control | en_US |
dc.title | Using Neural Networks to Identify Driving Style and Headway Control Behavior of Drivers | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Mechanical Engineering | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | UMTRI | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/65024/1/MacAdam_et_al_1998_VSD_NNet_paper.pdf | |
dc.owningcollname | Mechanical Engineering, Department of |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.