Predicting drowsiness-related driving events: a review of recent research methods and future opportunities

Michael G. Lenné, Emily E. Jacobs

Research output: Contribution to journalReview ArticleResearchpeer-review

14 Citations (Scopus)

Abstract

Drowsy driving remains a significant contributing factor to road crashes. The aim of this current paper is to assess the recent developments in the detection and prediction of drowsiness-related driving events. Nineteen research papers met the review inclusion criteria. The research reviewed here has confirmed that drowsiness can have a serious impact on driving performance in controlled, experimental settings, as would be expected on the basis of crash studies and previous research, although new findings from on-road studies show different impacts on performance. While there is substantial literature on the topic, few studies have characterised precise relationships between drowsiness and driving performance. The measurement of drowsiness-related events has progressed and recent research suggests that subjective ratings, blink duration and steering metrics show promise in being effective predictors of drowsiness-related driving events.

Original languageEnglish
Pages (from-to)533-553
Number of pages21
JournalTheoretical Issues in Ergonomics Science
Volume17
Issue number5-6
DOIs
Publication statusPublished - 2 Sep 2016

Keywords

  • driver impairment
  • Drowsiness
  • fatigue
  • lane departure
  • sleepiness

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