With proactive safety assessment gaining significant attention in the literature, the
relationship between traffic conflicts (which form the underpinnings of proactive safety …

Connected and automated vehicles (CAVs), in the context of cooperative intelligent
transportation systems (C-ITS), are capable of exchanging information with each other and …

This paper analyzes the characteristics of mixed traffic flow with maximum platoon size of
connected automated vehicles (CAVs) based on analytical and simulation methods. First …

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 Emerging Connected and Autonomous Vehicles (CAVs) technology have a
ubiquitous communication framework. It poses security challenges in the form of cyber …

Real-time safety analysis and optimization using surrogate safety measures such as traffic
conflicts and techniques such extreme value theory (EVT) models is an emerging research …

This study presents a novel framework and open-source tools for simulating and managing
connected and automated mobility (CAM) systems, taking into account their hierarchical …

Accurate crash frequency prediction is critical for proactive safety management. The
emerging connected vehicles technology provides us with a wealth of vehicular motion data …

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 …

As the market penetration rate of automated vehicles (AVs) increases, there will be a
transition period when the traffic stream is composed of both AVs and human-driven …