It's significant to considerate human factors for the design of the advanced safety vehicle beyond the general vehicle's performance. Therefore, the development of human driver model to imitate the real human drive pattern is useful for the commenceme...
It's significant to considerate human factors for the design of the advanced safety vehicle beyond the general vehicle's performance. Therefore, the development of human driver model to imitate the real human drive pattern is useful for the commencement of advanced vehicle research to reflect the human factors. In this paper, several experiments to verify the human factors of driving a vehicle and the control logic to describe the human's drive logic process are presented. Human factors to influence a vehicle operation are assumed to be consisted of two major components, the preview distance recognition and the human neuromuscular system. The finite preview optimal control strategy has been applied due to the similarity of human's situation awareness in a driving condition. Ultimately, combining the control logic with human factors, the representative human driver model has been developed and simulated with ADAMS/CAR in SIMULINK environment. The simulation results have been compared to the actual vehicle test data (DLC road course test result) in terms of driving experience classified by Novice, Intermediate, and Expert. It has been concluded that the representative human driver model presented in this paper is sufficient to describe the human drive pattern sorted by driving experience.