Objective To explore the scope of available research and to identify research gaps on in-
vehicle interventions for drowsiness that utilize driver monitoring systems (DMS) …

Driver fatigue and distraction are major road safety issues globally; developing driver state
detection and warning technology to help reduce impairment-related incidents is a …

Vehicle automation allows drivers to disengage from driving causing a potential decline in
their alertness. One of the major challenges of highly automated vehicles is to ensure a …

Objective: Drowsiness is a major cause of driver impairment leading to crashes and
fatalities. Research has established the ability to detect drowsiness with various kinds of …

Pilot mental fatigue is a growing concern in the aviation field due to its significant
contributions to human errors and aviation accidents. Long work hours, sleep loss, circadian …

The trucking industry urgently requires comprehensive methods to evaluate driver safety,
given the high incidence of serious traffic accidents involving trucks. The concept of a “truck …

Most objective drowsiness measures have limited ability to provide continuous, accurate
assessment of drowsiness state in operational settings. Spontaneous eye blink parameters …

Driver distraction and drowsiness remain significant contributors to death and serious injury
on our roads and are long standing issues in road safety strategies around the world. With …

The serious problem of road traffic accidents is in urgent need of coping strategies, among
which feedback has proven to be helpful. The main purpose of this study is to explore …

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 …