Modeling and Research of Drivers’ Learning Process

Understanding the human driving process is one of the key factors in human-robot co-driving. In the real driving process, participants in driving are of varying levels and show different driving styles. In this paper, a driver learning model is built based on the students who are learning to drive, by observing the changes in the driving skills and styles of them in the process of learning. And a driver self-learning iterative process is built to characterize the learning level improvement process of the students. The simulation results show that the different parameter combinations of the learner driving model can represent drivers of different levels and driving styles, and the learner model reflects the self-learning ability during the training process.