Predictive Model-Based and Control-Aware Communication Strategies for Cooperative Adaptive Cruise Control

Utilizing Vehicle-to-everything (V2X) communication technologies, vehicle platooning systems are expected to realize a new paradigm of cooperative driving with higher levels traffic safety and efficiency. Connected Autonomous Vehicles (CAVs) need have proper awareness the context. The platoon’s performance will be influenced by strategy. In particular, time-triggered or event-triggered interest here. expenses related increase significantly as number connected entities increases. Periodic can relaxed more flexible aperiodic implementations while maintaining desired performance. This paper proposes predictive model-based control-aware solution for platoons. method uses fully distributed Event-Triggered Communication (ETC) strategy combined Model-Based (MBC) aims minimize resource usage preserving closed-loop characteristics. our method, each runs remote state estimator based on most recently communicated model event-driven scheme only updates when metric error exceeds certain threshold. Our approach achieves significant reduction in average rate (82%) slightly reducing control (e.g., less than 1% speed deviation).