Sensitivity and specificity of the driver sleepiness detection methods using physiological signals: A systematic review

CN Watling, MM Hasan, GS Larue - Accident Analysis & Prevention, 2021 - Elsevier
Driver sleepiness is a major contributor to road crashes. A system that monitors and warns
the driver at a certain, critical level of arousal, could aid in reducing sleep-related crashes …

I think I'm sleepy, therefore I am–Awareness of sleepiness while driving: A systematic review

AWT Cai, JE Manousakis, TYT Lo, JA Horne… - Sleep medicine …, 2021 - Elsevier
Summary Driver drowsiness contributes to 10–20% of motor vehicle crashes. To reduce
crash risk, ideally drivers would be aware of the drowsy state and cease driving. The extent …

[图书][B] Traffic safety and human behavior

D Shinar - 2017 - emerald.com
“A grave problem that developed in New Hampshire… now has all the motor-vehicle
commissioners of the eastern states in a wax. It's whether radios should be allowed on cars …

Automatic driver sleepiness detection using EEG, EOG and contextual information

S Barua, MU Ahmed, C Ahlström, S Begum - Expert systems with …, 2019 - Elsevier
The many vehicle crashes that are caused by driver sleepiness each year advocates the
development of automated driver sleepiness detection (ADSD) systems. This study …

Professional drivers' fatigue as a problem of the modern era

J Davidović, D Pešić, B Antić - … research part F: traffic psychology and …, 2018 - Elsevier
Objective All around the world numerous studies have been carried out and indicated that
20–50% of commercial vehicle accidents occur because of fatigue. Professional drivers …

[HTML][HTML] Monitoring driver drowsiness in partially automated vehicles: Added value from combining postural and physiological indicators

G Perrotte, C Bougard, A Portron, JL Vercher - Transportation research part …, 2024 - Elsevier
Drowsiness at the wheel is one of the leading causes of road fatalities. Driver monitoring
systems (DMS) mainly rely on vehicle-based data and drivers' facial information to detect …

Drowsiness measures for commercial motor vehicle operations

AR Sparrow, CM LaJambe… - Accident Analysis & …, 2019 - Elsevier
Timely detection of drowsiness in Commercial Motor Vehicle (C MV) operations is necessary
to reduce drowsiness-related CMV crashes. This is relevant for manual driving and …

The significance of the development of road safety performance indicators related to driver fatigue

J Davidović, D Pešić, K Lipovac, B Antić - Transportation research procedia, 2020 - Elsevier
Drivers' fatigue, as a problem of the modern era, is causing more and more attention in the
world, and special attention is given to this problem by transport companies in order to …

Feeling sleepy? stop driving—awareness of fall asleep crashes

C Anderson, AWT Cai, ML Lee, WJ Horrey, Y Liang… - Sleep, 2023 - academic.oup.com
Abstract Study Objectives To examine whether drivers are aware of sleepiness and
associated symptoms, and how subjective reports predict driving impairment and …

Subjective awareness of sleepiness while driving in younger and older adults

AWT Cai, JE Manousakis, B Singh… - Journal of sleep …, 2024 - Wiley Online Library
Understanding whether drivers can accurately assess sleepiness is essential for
educational campaigns advising drivers to stop driving when feeling sleepy. However, few …