Design of vehicle state prediction for highway intelligent spatial based on constrained model predictive control approach

A new concept of intelligent highway space is proposed, and vehicle state prediction in intelligent highway space is explored and studied. Model prediction control approach is introduced to predict vehicle state, in which linear two-degree vehicle model is used to build the prediction model and the simulation model. The future output of yaw rate of vehicle can be predicted with the information of vehicle speed and steering wheel angle. Compared with the desired value, the prediction result is accuracy within allowable error. The simulation result indicates that it is feasible to use the model predictive approach to predict vehicle state of intelligent space and to verify some relative scheme.