CAV Network

CAV networks focus on enabling safe and efficient communication and coordination among connected and autonomous vehicles (CAVs) to improve traffic flow and safety. Current research emphasizes optimizing data transmission throughputs via channel-aware algorithms and adaptive data compression techniques, integrating real-world data into high-fidelity simulations for testing and validation, and developing robust control strategies using reinforcement learning and model predictive control to manage complex traffic scenarios. This research is significant for advancing the development and deployment of CAV technologies, impacting areas such as transportation systems, urban planning, and safety engineering.