The influence of visual perception on vehicle rates of closure

dc.contributor.advisor Corso, Gregory M.
dc.contributor.author Kelling, Nicholas J. en_US
dc.contributor.committeeMember Fisk, Arthur D.
dc.contributor.committeeMember James, Lawrence R.
dc.contributor.department Psychology en_US
dc.date.accessioned 2006-09-01T19:39:49Z
dc.date.available 2006-09-01T19:39:49Z
dc.date.issued 2006-07-11 en_US
dc.description.abstract Given the high prevalence of automobile collisions in the United States, the need for collision prevention research is evident. To understand the complete cause of these incidents, it is critical to examine the drivers perception of these situations. This study involved simulations of multiple driving situations variant on luminance, rate of closure, and vehicle motions. Findings suggest changes in brake onset times of younger drivers based on roles of a lead vehicle. Multiple perceptually different rear end collisions caused participants to alter their brake onset times. The brake onset times were used to analyze braking models, including constant distance and constant tau. Additional analysis included correlations of the effects Useful Field of View and Test Anxiety on brake onset times. Effects identified not only aid in the general understanding of driving behavior, but also facilitate the application of driver assistive systems, which are currently being integrated into production vehicles. en_US
dc.description.degree M.S. en_US
dc.format.extent 3221198 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/11612
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Visual perception en_US
dc.subject Driving
dc.title The influence of visual perception on vehicle rates of closure en_US
dc.type Text
dc.type.genre Thesis
dspace.entity.type Publication
local.contributor.advisor Corso, Gregory M.
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Psychology
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relation.isOrgUnitOfPublication 768a3cd1-8d73-4d47-b418-0fc859ce897d
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