With the advent of seemingly unstructured big data, and through seamless integration of
computation and physical components, cyber-physical systems (CPS) provide an innovative …

The current study aimed to investigate the influence of driving aggression on lane change
behavior. Drivers belonging to three levels of aggressive driving styles (aggressive …

Driving errors and violations are highly relevant to the safe systems approach as human
errors tend to be a predominant cause of crash occurrence. In this study, we harness highly …

Smart streetlamps, which can automatically adjust luminance by sensing information about
passing vehicles, are gradually becoming an integral part of smart cities. However, when …

A deep understanding of driver behavior is an important step to improve road safety and
environmental performance. Volatility can be defined as the extent of variations in driving …

An essential step in devising measures to improve road safety is road accident prediction. In
particular, it is important to identify the risk factors that increase the likelihood of severe …

Driver fatigue is the leading cause of truck-related accidents. The most significant
occupational fatigue factors among short-haul truck drivers are sleep patterns, the round-trip …

Only a few researchers have shown how environmental factors and road features relate to
Autonomous Vehicle (AV) crash severity levels, and none have focused on the data …

The traditional way to evaluate pedestrian safety is a reactive approach using the data at an
aggregate level. The objective of this study is to develop real-time safety models for …

Introduction: Little evidence exists in the literature regarding the discrimination power of
better anatomical injury measures in differentiating clinical outcomes in motorcycle crashes …