Roadside Unit

Roadside units (RSUs) are crucial components of intelligent transportation systems, acting as communication hubs between vehicles and infrastructure to enhance safety and efficiency. Current research focuses on optimizing RSU deployment strategies, developing efficient data fusion techniques (often incorporating probabilistic methods and deep learning), and leveraging federated learning to collaboratively train models on data from multiple RSUs while preserving privacy. These advancements aim to improve various applications, including adaptive traffic control, autonomous driving, and the provision of mobile AI-generated content services, ultimately leading to safer and more efficient transportation networks.