CGRA-CA for NR-V2X

This dataset supports the evaluation of the Cooperative Greedy Response Algorithm for Collision Avoidance (CGRA-CA) in NR-V2X networks. The data include real-world traffic-flow measurements collected from urban intersections and expressways in Fuzhou, China, during peak traffic hours. Parameters such as vehicle counts, trajectories, and signal timing are included. These data were integrated into the SUMO simulation framework to replicate diverse traffic scenarios, enabling the analysis of the CGRA-CA algorithm's performance in optimizing V2V communication efficiency, minimizing response cycles, and reducing packet collisions under various conditions. The dataset is critical for advancing research in vehicular communication and intelligent transportation systems.