Journal of the Korean Society of Safety (한국안전학회지)

The Korean Society of Safety (한국안전학회)
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Estimation of Car Driver Error Probabilities Through Driver Questionnaire

운전자 설문을 통한 자동차 운전자의 실수 확률 추정

  • Lee, Jae-In (Department of Industrial Engineering, KAIST) ;
  • Lim, Chang-Joo (Department of Game and Multimedia Engineering, Korea Polytechnic University)
  • 이재인 (한국과학기술원 산업공학과) ;
  • 임창주 (한국산업기술대학교 게임공학과)
  • Published : 2007.02.28
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Abstract

Car crashes are the leading cause of death for persons of every age. Specially, human-related factor has been known to be the primary causal factor of such crashes than vehicle-and environmental-related factors. There are various studies to analyze driver's behavior and characteristics in driving for reducing the car crashes in many areas of car engineering, psychology, human factor, etc. However, there are almost no studies which analyze mainly the human errors in driving and estimate their probabilities in terms of human reliability analysis. This study estimates the probability of human error in driving, i.e. driver error probability. First, fifty driver errors are investigated through DBQ (Driver Behavior Questionnaire) revision and the error likelihoods in driving are collected which are judged by skillful drivers using revised DBQ. Next, these likelihoods are converted into driver error probabilities using the results that verbal probabilistic expressions are changed into quantitative probabilities. Using these probabilities we can improve the warning effects on drivers by indicating their driving error likelihoods quantitatively. We can also expect the reduction effects of car accident through controlling especially dangerous error groups which have higher probabilities. Like these, the results of this study can be used as the primary materials of safety education on drivers.

Keywords

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