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dc.contributor.authorDingus, Thomas A.en
dc.date.accessioned2014-03-14T21:49:44Zen
dc.date.available2014-03-14T21:49:44Zen
dc.date.issued1985-08-05en
dc.identifier.otheretd-11152013-040248en
dc.identifier.urihttp://hdl.handle.net/10919/45721en
dc.description.abstractTwo of the leading causes of automobile accidents are driver impairment due to alcohol and drowsiness. Apparently, a relatively large percentage of these accidents occur because drivers are unaware of the degree to which they are impaired due to these sources. The purpose of this research was to develop models which could detect driver impairment due to alcohol, drowsiness, or the combination of alcohol and drowsiness, and which could be practically implemented in an automobile. Such detection models, if successfully implemented in conjunction with a system to warn an impaired driver of his or her condition, could potentially save hundreds of lives each year. Six driver-subjects operated a computer controlled driving simulator during each of four conditions. The four conditions consisted of a control condition, an alcohol condition, a sleep-deprived condition, and a combination alcohol and sleep-deprived condition. Moderate levels of alcohol and sleep deprivation were used for this study. Nineteen performance and behavioral measures were collected during this study. Each measure was evaluated singly and in combination with other measures to determine potential value for detection of driver impairment. Detection models were then formulated using the most promising detection measures. The results indicated that a useful on-board drowsiness impairment detection device is possible and practical for highway driving. This device would also, in all likelihood, provide useful detection information regardless of whether low to moderate amounts of alcohol were present in a drowsy driver. The results also showed that on-board alcohol impairment detection may be possible at moderate to high BAC.en
dc.format.extentxiii, 188 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.language.isoen_USen
dc.publisherVirginia Techen
dc.relation.isformatofOCLC# 13046855en
dc.relation.haspartLD5655.V855_1985.D543.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V855 1985.D543en
dc.subject.lcshDrinking and traffic accidents -- Simulation methodsen
dc.subject.lcshDrunk driving -- Simulation methodsen
dc.titleDevelopment of models for detection of automobile driver impairmenten
dc.typeThesisen
dc.contributor.departmentIndustrial Engineering and Operations Researchen
dc.description.degreeMaster of Scienceen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelmastersen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.disciplineIndustrial Engineering and Operations Researchen
dc.type.dcmitypeTexten
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-11152013-040248/en
dc.date.sdate2013-11-15en
dc.date.rdate2013-11-15en
dc.date.adate2013-11-15en


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