5G communication delay dataset for cloud‑based vehicle planning and control

5G communication delay dataset We establish a 5G communication delay testbed at the intelligent connected vehicle evaluation base at Tongji University and conduct extensive field tests. Through these tests, over 150,000 records are collected to build our dataset, CICV5G. The dataset includes not only communication delay and channel conditions (such as reference signal received power and signal-to-noise ratio) but also vehicle poses (i.e., vehicle coordinates, velocity). Based on CICV5G, we conduct a comparative analysis of CICVs and autonomous vehicles (AVs) performance in typical scenarios and explore the impact of communication delay on the PnC. To the best of our knowledge, this is the first publicly available dataset of 5G communication delay specifically for PnC of CICVs. Contents data/ – Representative sample of the CICV5G dataset, with references to full data if archived elsewhere. figures/ – Validation and visualization figures illustrating delay characteristics. tools/ – Python scripts for data processing, analysis, and plotting. README.md – Overview and usage instructions for the dataset. Notes This is the first public archival release of the CICV5G dataset for research on 5G vehicle-to-network-to-vehicle (V2N2V) communication delay in cloud-based intelligent connected vehicles.The dataset includes high-frequency, real-world delay measurements and synchronized vehicle-network indicators.Complete documentation and reproduction instructions are available in the README.md.