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 …

Driving risk assessment is important to guide the actions, states and behaviours of drivers for
the prevention of road incidents or accidents. With the widespread of sensors constantly …

The World Health Organisation reports distracted driving actions as the main cause of road
traffic accidents. Current studies to detect distraction postures focus on analysing spatial …

Driver's driving style and driving skill have an essential influence on traffic safety, capacity,
and efficiency. Through clustering algorithms, extensive studies explore the risk assessment …

Determining the impact of driver-monitoring technologies to improve risky driving behaviours
allows stakeholders to understand which aspects of onboard sensors and feedback need …

Traditional methods for behavior detection of distracted drivers are not capable of capturing
driver behavior features related to complex temporal features. With the goal to improve …

With technical breakthroughs in the telecommunications industry, the availability of
technologies such as artificial intelligence (AI) and the internet of things (IoT), etc., on …

In the last decade, distraction detection of a driver gained a lot of significance due to
increases in the number of accidents. Many solutions, such as feature based, statistical …

Abstract The World Health Organisation reports distracted driving as one of the main causes
of road traffic accidents. Current studies to detect distraction postures focus on analysing …

In essence, driver training involves learning the skills required to drive safely and avoid
dangerous events. However, in traditional on-road driver instruction, drivers virtually never …