“Did you fall asleep?” – Younger and older drivers’ recollection of prior sleepiness while driving

  • Anna W.T. Cai
  • , Jessica E. Manousakis
  • , Bikram Singh
  • , Elly Francis-Pester
  • , Shantha M.W. Rajaratnam
  • , Michael G. Lenné
  • , Mark E. Howard
  • , Clare Anderson*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Determining causality and driver culpability in fall asleep crashes requires extensive forensic examination, with post-crash interviews forming a critical part of the process. To date, there is no evidence regarding whether drivers’ recollection of sleepiness and associated symptoms accurately reflects driving impairment during an earlier drive. To address this, our study examined whether established questionnaires assessing sleepiness (Karolinska Sleepiness Scale) and sleepiness symptoms (Sleepiness Symptoms Questionnaire) taken post-drive accurately reflected earlier driving impairment as characterised by near-crash events and lane deviations during a closed loop track drive. Sixteen younger (21–33 years) and seventeen older (50–65 years) drivers completed two 2 h afternoon track drives under supervision of a licensed driving instructor under two conditions: well rested (8 h sleep opportunity) and sleep deprived (0 h sleep). For younger drivers, all sleepiness symptoms (except mind wandering) significantly predicted prior severe (near-crashes AUC 0.78–1.00) and moderate (lane deviations AUC 0.78–0.94) driving impairment, with good to excellent accuracy. For older drivers, only severe impairment was accurately reflected in post-drive ratings (near crashes AUC 0.86–0.94), and for fewer symptoms (8/9 vs. 6/9). Optimal thresholds for the frequency of these symptoms, in addition to thresholds for minimum acceptable false positives are presented. Our data suggest that post-crash interviews should utilise questions around subjective sleepiness and associated symptoms, providing evidence regarding the presence and awareness of drowsiness while driving, taking into account the reliability of self-report evidence. This may aid in the investigation of fall-asleep crashes where drowsiness is suspected.

Original languageEnglish
Pages (from-to)231-242
Number of pages12
JournalTransportation Research Part F: Traffic Psychology and Behaviour
Volume100
Early online date7 Dec 2023
DOIs
Publication statusPublished - Jan 2024

Bibliographical note

Publisher Copyright:
© 2023

Keywords

  • Age
  • Crash risk
  • Drowsy driving
  • Prediction
  • Sleepiness

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Automotive Engineering
  • Transportation
  • Applied Psychology

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