Data Distribution Analysis of Speed-Dependent Data Transmission Interval Adaptation in V2X

This paper analyzes the impact of a speed-dependent data transmission interval adaptation method in vehicle-to-everything (V2X) communications in urban environments through computer simulations. Our simulation-based analysis implements the speed-dependent data transmission interval method in combination with vehicle trajectory data. This speed-dependent interval method causes each vehicle with a higher speed to generate larger communication data volumes in road segment areas in addition to intersection areas, unlike the fixed transmission interval method, which is used in existing studies. Our simulation results showed that in selected intersection areas, the speed-dependent interval method provided 0.766, 0.785, 0.814, and 0.792 times lower communication data volume than fixed interval method. However, in selected road segment areas the speed-dependent interval method provided 1.641, 1.539, 1.795 and 1.670 times higher communication data volume than fixed interval method. The results of this study may provide a reference for RSU deployment problems.