Vision Zero involves the use of a systems approach to eliminate fatal and serious injuries
from motor vehicle crashes by accommodating basic human limitations that lead to crashes …

The operation of a motor vehicle under the influence of alcohol poses a significant risk to the
safety of the driver, passengers, and other road users. Electrooculographic (EOG) signal …

Artificial intelligence (AI) represents a potential moonshot in the drug use field in terms of
primary prevention—that is, preventing drug use initiation—and in reducing morbidities …

This paper introduces a transformative edge computing-based approach for enhancing
driver attention and road safety using EEG-driven deep reinforcement learning (DRL). As …

In public health and safety, precise detection of blood alcohol concentration (BAC) plays a
critical role in implementing responsive interventions that can save lives. While previous …

Rising diversity through novel forms of mobility and increasing connectivity through
intelligent systems and wireless connection is leading to a complex traffic environment …

Direct alcohol biomarkers are of growing interest for the assessment of alcohol consumption,
with particular interest in phosphatidylethanol (PEth) in recent years. PEth is only formed …

Drunk driving-related road accidents contribute significantly to the global burden of road
injuries. Addressing alcohol-related harm, particularly during safety-critical activities like …

Drunk driving continues to be a substantial public health issue, leading to a multitude of
accidents and deaths on a global scale. Conventional techniques for identifying drunk …

Abstract Camera‐based Driver Monitoring Systems (DMS) have the potential to exploit eye
tracking correlates of alcohol intoxication to detect drunk driving. This study investigates how …