Although autonomous vehicles have introduced a promising potential for improving traffic
safety and efficiency, ensuring the safety of autonomous vehicles in complex road traffic …

The paper investigates a novel modeling and quantitative assessment approach for
environment complexity of autonomous vehicles (AVs), whose purpose is to establish a …

The primary goal of the paper is to explore the human-vehicle-road interaction mechanism
in the traffic environment and evaluate the traffic environment complexity for unmanned …

Potential field theory, as a theory that can also be applied to vehicle control, is an emerging
risk quantification approach to accommodate the connected and self-driving vehicle …

The proposed study aims to address the complexities resulting from the mixing of manually
driven and autonomous vehicles. First, the complexity of the driving situation was defined to …

To assess the operational risk of multi-vehicle interactions for connected and autonomous
vehicles (CAVs) in the weaving area, this study defines the 'multi-vehicle interaction risk …

Recent years have witnessed the proliferation of traffic accidents, which led wide researches
on automated vehicle (AV) technologies to reduce vehicle accidents, especially on risk …

To meet the requirements of scenario-based testing for Autonomous Vehicles (AVs), driving
scenario characterization has become a critical issue. Existing studies have concluded that …

Purpose-The purpose of this paper is to accurately capture the risks which are caused by
each road user in time. Design/methodology/approach-The authors proposed a novel risk …

Because road infrastructures have significant impact on driving safety, their risk levels need
to be evaluated dynamically according to drivers' perception. To achieve this, this paper …