This study updates the prevalence of operator fatigue as a causative factor in accidents investigated by the National Transportation Safety Board (NTSB) and the associated injury severity in fatigue-related accidents. In total, 394 investigations were analyzed and 12% of them identified fatigue. The prevalence of fatigue varied among the transportation modes, ranging from 28% of aviation to 7% of marine. Most fatigue-related accidents (48%) occurred during late night or morning. Compared to non-fatigued operators, fatigued operators were more involved in severe or fatal injuries (odds ratio [] 2.30; 95% confidence interval [CI] [1.66, 2.95]) and injuries to non-operators ( 3.32; 95% CI [2.70, 3.95]). Obstructive sleep apnea (OSA) was identified as a probable cause, contributing cause or finding in 15% of fatigue-related accidents, and in 85.7% of these accidents the operator met OSA screening criteria. Thus, opportunities remain for preventing fatigue-related accidents, including through more systematic operator screening for OSA.

Download full-text PDF

Source
http://dx.doi.org/10.1080/10803548.2022.2075639DOI Listing

Publication Analysis

Top Keywords

fatigue-related accidents
16
accidents
7
fatigue
4
fatigue ntsb
4
ntsb investigations
4
investigations 2013-2019
4
2013-2019 evidence
4
evidence accidents
4
accidents injuries
4
injuries study
4

Similar Publications

Theory-Based Determinants of Stopping Drowsy Driving Behavior in College Students: A Cross-Sectional Study.

Int J Environ Res Public Health

August 2024

Department of Social and Behavioral Health, School of Public Health, University of Nevada, Las Vegas, NV 89119, USA.

Drowsy driving among college students is a critical public health issue due to its significant impact on road safety. This cross-sectional study aimed to investigate the determinants of stopping drowsy driving behavior among college students using the multi-theory model (MTM) of health behavior change. Data for this study were collected from September to October 2023 via a 42-item psychometric valid, web-based survey disseminated via Qualtrics, involving 725 students from a large southwestern university.

View Article and Find Full Text PDF
Article Synopsis
  • Despite advancements in aircraft manufacturing, human factors, particularly fatigue, remain a significant cause of flight accidents.
  • The article introduces a model using convolutional neural networks (CNN) to recognize pilot fatigue through analyzing facial attributes of flight trainees during simulations.
  • The proposed PSO-CNN algorithm achieved a 93.9% recognition rate for detecting fatigue levels, demonstrating its effectiveness compared to other machine learning models.
View Article and Find Full Text PDF

Driving while drowsy poses significant risks, including reduced cognitive function and the potential for accidents, which can lead to severe consequences such as trauma, economic losses, injuries, or death. The use of artificial intelligence can enable effective detection of driver drowsiness, helping to prevent accidents and enhance driver performance. This research aims to address the crucial need for real-time and accurate drowsiness detection to mitigate the impact of fatigue-related accidents.

View Article and Find Full Text PDF

Air forces have developed several methods for reducing fatigue-related accidents. In the Israeli Air Force, the "Dead Tired" workshop was developed with the purpose of presenting aircrew with their objective performance under sleep deprivation conditions. The aim of this study was to examine the cognitive abilities of both aircrew and unmanned aerial vehicle operators, both objectively and subjectively.

View Article and Find Full Text PDF

Driver fatigue is a contributing factor in about 10-30% of all fatal crashes. Prevention of fatigue-related crashes relies on robust detection of driver fatigue and application of effective countermeasures. A potential countermeasure is fragrance administration since odors can have alerting effects on humans.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!