Objective: The aim of this study was to outline a conceptual framework for understanding
driving style and, on this basis, review the state-of-the-art research on driving styles in …

Driver assist technologies have reached the tipping point and are poised to take control of
most, if not all, aspects of the driving task. Proponents of automated driving (AD) are …

There are a lot of elements that make road safety assessment situations unpredictable and
hard to understand. This could put people's lives in danger, hurt the mental health of a …

Text messaging while driving is considered dangerous and known to produce injuries and
fatalities. However, the effects of text messaging on driving performance have not been …

In this paper, we provide a survey of the traffic sign detection literature, detailing detection
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …

Background The global burden of road injuries is known to follow complex geographical,
temporal and demographic patterns. While health loss from road injuries is a major topic of …

Introduction: This research systematically reviewed relevant studies on users' acceptance of
conditional (Level 3) to full (Level 5) automated vehicles when such vehicles are to be used …

This paper presents the challenges that researchers must overcome in traffic light
recognition (TLR) research and provides an overview of ongoing work. The aim is to …

Road accidents and vehicular emissions are two significant issues related to road
transportation, affecting both human life and the environment. Prior research suggests that …

Pedestrians, cyclists and powered two-wheeler riders are considered vulnerable road users,
as they are prone to a high risk of injury in the event of vehicular collision. This paper sought …