The application of drone technology promises to revolutionize the transportation industry.
Particularly, the combination of drones with ground vehicles has tremendous advantages for …

Car-following (CF) algorithms are crucial components of traffic simulations and have been
integrated into many production vehicles equipped with Advanced Driving Assistance …

Trajectory prediction is a critical aspect of understanding and estimating the motion of
dynamic systems, including robotics and autonomous vehicles (AVs). For safe and efficient …

Traffic oscillations, often induced by repetitive acceleration and deceleration maneuvers in
vehicles' car-following behaviors, can cause many negative impacts on the traffic flow. With …

The behavioural differences between autonomous vehicles (AVs) and human‐driven
vehicles (HDVs) can significantly impact traffic efficiency, safety, and emissions. Simulation …

Autonomous shuttles have been used as end-mile solutions for smart mobility in smart cities.
The urban driving conditions of smart cities with many other actors sharing the road and the …

The introduction of connected automated vehicles (CAVs) on freeways raises significant
challenges, particularly in interactions with human-driven vehicles, impacting traffic flow and …

Reinforcement learning (RL)–based car-following (CF) control strategies have attracted
significant attention in academia, emerging as a prominent research topic in recent years …

Most existing automated driving vehicles in the platoon equipped with an Adaptive Cruise
Control (ACC) systems and a Cooperative Adaptive Cruise Control (CACC) systems have …

The formation transformation in intelligent connected autonomous vehicles (CAVs)
enhances platoon versatility and significantly improves traffic efficiency. Current formation …