A Car-Steering Model Based on an Adaptive Cloud Neural Controller

To simulate the human decision-making in steering to follow a planned path, we modeled the driver´s learning process by using an idea of target position. The proposed model dealt with the driver´s decision-making mechanisms in tracking a target position by means of Cloud Neural Network. Results from the simulation of lane changing showed the capability of the proposed model to simulate a driver´s steering behavior with emphasis on learned skill.