Type of Document Master's Thesis Author Dingus, Thomas A. URN etd-11152013-040248 Title Development of models for detection of automobile driver impairment Degree Master of Science Department Industrial Engineering and Operations Research Advisory Committee
Advisor Name Title Walter W. Wierwille Committee Chair John G. Casali Committee Member Paul T. Kemmerling Committee Member Keywords
- Drunk driving
Date of Defense 1985-08-05 Availability restricted Abstract
Two 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.
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