Autonomous vehicles
Hybrid Data-Model Driven Trajectory Prediction On Highways: Integrating Anticipatory Interaction Awareness and Personalized Driving Preferences
New research has been conducted on the intersection of connected autonomous vehicles (CAVs) and human-driven vehicles (HDVs) on highways, emphasizing the importance of anticipating interactions between the two types of vehicles. The study, led by researchers from Zhejiang University, aimed to address the dual challenges of personalized driving preference modeling