ABSTRACT The coexistence of Connected Automated Vehicles (CAVs) and Human-driven
Vehicles (HVs) in traffic scenarios is expected to persist in the long term. Hence, proposing …

The emerging autonomous vehicles (AVs) technologies provide a new opportunity to design
a better lane-changing trajectory to reduce traffic congestion. The existing research on lane …

The modeling of driving behavior is pivotal for the accurate simulation of traffic scenarios
and for providing human-like decision-making of autonomous driving systems. Car-following …

With the development of technology, vehicle trajectory prediction and safety decision
technology has become an important part of active safety technology. Among them, the …

The accuracy of the data is crucial to the real-time prediction of autonomous driving. Due to
factors such as weather and the accuracy of data collection equipment, there frequently exist …

Lane changes require dynamic decision-making and rapid behavior planning, which are
challenging for traffic modeling. We propose a two-dimensional following lane-changing …

Autonomous Vehicle (AV) technology is a disruptive transportation technology that promises
to revolutionize how people travel. Due to their potential mobility benefits and associated …

Diverse passengers have various driving habits and driving preferences, thus the function of
personalized driving is one of the most important features for autonomous vehicles (AVs). In …

With the diversification and deepening of intelligent technology research, intelligent vehicles
are gradually involved in entering the transportation life. When intelligent vehicles enter the …

This article considers mixed platoons consisting of both human‐driven vehicles (HVs) and
automated vehicles (AVs). The uncertainties and randomness in human driving behaviors …