Limitations of crash data and crash-based methods have given rise to the study of alternate
measures of safety that are not predicated on the occurrence of a crash such as traffic …

For the last few decades, a lot of attention has been given to intelligent vehicle systems, and
in particular to automated safety and collision avoidance solutions. In this paper, we present …

In this study, we explore the problem of adaptive vehicle trajectory control for different risk
levels. Firstly, we introduce a sliding window-based car-following scenario extraction …

Abstract Cooperative Adaptive Cruise Control (CACC) systems have the potential to
increase roadway capacity and mitigate traffic congestion thanks to the short following …

The concept and contents of driving safety field theory were presented in our previous study.
On this basis, this study focus on driving safety field theory modeling and application. First, a …

A traffic encounter between individual road users is a process of continuous interplay over
time and space and may be seen as an elementary event with the potential to develop into …

The interchange merging area suffers a high crash risk in the freeway system, which is
greatly related to the intense mandatory merging maneuvers. Ignoring such correlation may …

Adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC) are important
technologies for the achievement of vehicle automation, and their effect on traffic systems …

Perceived risk and trust are crucial for user acceptance of driving automation. In this study,
we identify important predictors of perceived risk and trust in a driving simulator experiment …

Safety guarantees are vital to the dependability of the automated vehicle (AV), so are of
primary concern to the AV industry and regulatory bodies. Responsibility-Sensitive Safety …