This paper explores deep learning (DL) methods that are used or have the potential to be
used for traffic video analysis, emphasising driving safety for both autonomous vehicles 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 …

High-risk drivers are more likely to be involved in traffic accidents, and the driving risk level
of drivers could be affected by many potential factors, such as demographics and personality …

Abstract The Manchester Driver Behavior Questionnaire (DBQ) identifies risky driving
behaviors resulting from psychological mechanisms. Investigating the relationships between …

Due to the growing interest in automated driving, a deep understanding on the
characteristics of human driving behavior is critical for human-like autonomous vehicles …

Data from two previously published studies were used to examine the correlations between
scores on the violation, error and lapse sub-scales of the driver behaviour questionnaire …

Although much of the knowledge in transportation psychology has been gained by means of
self-report measures, there is still a dispute regarding the usefulness and validity of such …

Professional drivers are drivers whose profession is to drive a vehicle such as truck and taxi
for working purposes. However, these drivers constitute a heterogeneous group and …

Aggressive driving, amongst inappropriate driving behaviors, is largely responsible for
leading to traffic accidents, which threatens both the safety and property of human beings …

Introduction This study aimed to explore perceived risk and reported willingness to engage
in risky driving in a sample of young Australian drivers. The study also considered the …