Title page for ETD etd-11152013-040248


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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