In the context of future traffic systems, where automated vehicles (AVs) coexist with human-
driven vehicles (HVs), ensuring road safety is of utmost importance. Existing safety …

This paper proposes a hierarchical model for cooperative on-ramp merging control
(CORMC) in mixed traffic with both connected automated vehicles (CAVs) and connected …

This paper introduces a novel vehicle velocity estimator using an extended Kalman filter
(EKF) algorithm and the relationship between velocity and the steered tire (RVST), without …

Semi-autonomous truck platooning, a futuristic and promising traveling mode of trucks on
highways, has received extensive attention as autonomous driving gains more maturity …

This study proposes a cooperative lane‐changing control framework for multiple vehicles in
freeway ramp merging areas, aiming to achieve safe and efficient merging. Specifically …

Connected and automated vehicles (CAVs) have enormous potential to enhance traffic
safety, efficiency, and emissions reduction. However, in the initial phases of CAV …

Recent developments in connected and automated vehicle technologies have opened up
new possibilities but also posed enduring challenges. One of the primary challenges is the …

The overtaking process for autonomous vehicles must prioritize both efficiency and safety,
with safe distance being a crucial parameter. To address this, we propose an automatic …

Autonomous vehicles (AVs) face considerable challenges when interacting with their
environment, especially during lane changes. Enhancing decision-making and planning …

Deep Reinforcement Learning (DRL) has made remarkable progress in autonomous vehicle
decision-making and execution control to improve traffic performance. This paper introduces …