In an effort to reach accident-free milestones or drastically reduce/eliminate road fatalities
rates and traffic congestion and to create disruptive, transformational mobility systems and …

To better understand the research focus and development direction in the field of driving
behavior active intervention, thereby laying a scientific foundation for further research, we …

Traffic management systems play a vital role in ensuring safe and efficient transportation on
roads. However, the use of advanced technologies in traffic management systems has …

Connected Vehicles (CV) technology has been used to address safety issues on highway
horizontal curves. Existing curve warning systems are either using curve warning signs or …

Assistive vision-based solutions for the driver extend the capabilities of human vision and
support safe travel. Unfortunately, their widespread usage is generally limited to expensive …

The in-vehicle warning information provided in the CVs environment allow the driver to
respond rapidly to upcoming hazardous situations. The main purpose of this study is to …

The driver's mental state is frequently detected employing EEG signals which are usually
converted into grayscale images to train a Machine Learning algorithm that classifies his …

In recent years, terrible driver behavior and driving performance have been the primary
causes of increasing agricultural tractor accidents. However, how environmental factors …

In the past decade, Pedestrian Collision Warning Systems have been proposed to detect
pedestrians and warn drivers of imminent collision. However, such systems are often limited …

The cooperative-intelligent transport systems (C-ITS) shares useful real-time traffic
information including upcoming hazards in support of vehicle-to-vehicle (V2V) and vehicle …