This study adopted a three-step holistic review approach consisting of bibliometric review,
scientometric analysis, and in-depth discussion to gain a deeper understanding of the …

In-vehicle technologies may decrease crash risk in drivers with age-related declines.
Researchers determined the impact of in-vehicle information systems (IVIS) or advanced …

Misunderstanding of driver correction behaviors is the primary reason for false warnings of
lane-departure-prediction systems. We proposed a learning-based approach to predict …

A relationship between cognitive ability and safety performance in car drivers has been
consistently supported in previous literature. However, this relationship has been neglected …

With the aging of the population the issue of older drivers safety has gained importance in
recent years. Age-related cognitive decline is frequently cited as the main cause of unsafe …

Performance in everyday tasks, such as driving and sport, requires allocation of attention to
task-relevant information and the ability to inhibit task-irrelevant information. Yet there are …

Recent research revealed that COVID-19 pandemic was associated with noticeable
changes in travel demand, traffic volumes, and traffic safety measures. Despite the reduction …

Evaluating the similarity levels of driving behavior plays a pivotal role in driving style
classification and analysis, thus benefiting the design of human-centric driver assistance …

The ability to drive depends on the motor, visual, and cognitive functions, which are
necessary to integrate information and respond appropriately to different situations that …

Advanced driver assistance systems like (forward) collision warnings can increase traffic
safety. As safety-critical situations (especially in urban traffic) can be diverse, integrated …