Integrated Velocity Prediction Method and Application in Vehicle-Environment Cooperative Control Based on Internet of Vehicles

Rapid progress has been gained in the field of advanced communication technologies, which also promote parallel developments Internet Vehicles (IoVs). In this context, vehicle-environment cooperative control can be integrated into next-generation vehicles to further improve vehicle's performance, particular energy efficiency. Accurate prediction future velocity profiles on basis IoVs a critical breakthrough, contribute much vehicle operation efficiency promotion. paper, an (IVP) method fully taking advantage is proposed and demonstrated through case study. IVP method, both macroscopically microscopically predicted are considered. The macroscopic via traffic flow analysis (TFA) multi-access edge computing units (MECUs) situated alongside route. Microscopic forecasted Mondrian forest (MF) algorithm on-board unit (VCU). Final generated combination microscopic frequency domain VCU fast Fourier transform (FFT) inverse FFT. A study validates distinguished performance demonstrates its significant contribution improvement.