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 …

Driving errors and violations are identified as contributing factors in most crash events. To
examine the role of human factors and improve crash investigations, a systematic taxonomy …

A large percentage of traffic accidents are due to human errors. Driving behavior and driving
stress influence the probability of making these mistakes. Both are influenced by multiple …

Forward collision warning systems (FCWSs) monitor the road ahead and warn drivers when
the time to collision reaches a certain threshold. Using a driving simulator, this study …

Truck automation is emerging as an innovative technology with benefits in traffic safety and
the economy to revolutionize freight traffic. Despite these benefits, the potential negative or …

This study explores how different driving errors, violations, and roadway environments
contribute to safety–critical events through instability in driving speed. We harness a …

Leading road safety countries have evolved a “Safe System” approach to addressing the risk
of crashes, injury, and mortality. The underlying philosophy accepts that road users will …

Lane departure warnings (LDW) have the potential to mitigate a significant number of lane
departure crashes. Such safety benefits have yet been realized, in part due to drivers …

The driver's activity monitoring has gained more consideration in advanced vehicular
technology because of its abundant benefits for driving assistance systems. The driver's …

Extracting effective steering indicators is critical for fatigue‐identification based on steering
behaviour. However, considering individual differences, the best calculation parameters of …