A Predictive Control Algorithm Based on Driving Behavior Data Model

At present, most of the researches in intelligent driving field start up from algorithm, while ignoring the driving behavior of the human driver in solving the automatic control problem of the intelligent vehicle. This kind of algorithm gives priority to the fast convergence of the algorithm and does not fully consider the driving habit of human beings, so it is very difficult to achieve humanoid driving in real sense. This paper presents a speed control algorithm of intelligent vehicle based on human driver's driving behavior. With the collection of the data analysis and modeling of human driver's driving behavior, the control model satisfying the human driving behavior is established, thereby simulating the human's driving habit, so as to finally realize the adaptive tracking driven by driving data and to improve the longitudinal comfort of the passengers of automatic driving vehicle.