Analysis and synthesis of cooperative adaptive cruise control for connected vehicles based on XGSPON

Cooperative Adaptive Cruise Control (CACC) systems play a crucial role in modern intelligent transportation systems, and with the increasing complexity of transportation systems, the amount of sensor data is proliferating, which puts higher demands on the network system's transmission delay and bandwidth requirements. To address these challenges, this study designs a central-zonal E/E architecture for multi 10-Gigabit passive optical networks (XGS-PON) and investigates its performance. First, an asynchronous composite network (ACN) loop delays analysis method is proposed. The worst-case network loop delay of vehicular network is calculated by detailed graphical analysis of network topology and upper bound mathematical equations. In order to solve the delay problem of ACN as well as to improve the system robustness, a new scheduling method the dynamic priority fractional periodic (DPFP) scheduling scheme is designed to deal with the ACN loop delays. Finally, simulationresults validate the effectiveness of the proposed methodology.