http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
정대이(Daeyi Jung),노기한(Kihan Noh),최형진(Hyungjeen Choi),이경수(Kyoungsu Yi) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
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.
최형진(Hyungjeen Choi),노기한(Kihan Noh),정대이(Daeyi Jung),최규재(Gyoojae Choi) 한국자동차공학회 2006 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
Many researches on driver's behaviors based on human factors have been being carried out for effective evaluation on the vehicles with various intelligent control systems. The ergonomic approaches are considered on the evaluation process as well as the development process of the intelligent control systems. This paper focuses on the preview distance among human factors affecting driver behaviors, which exerts on vehicle's steering stability. The researches on the preview distance exclude the real vehicle test or are confined to obscure assumptions so far. In this paper drivers are classified through statistically ergonomic analysis on the drivers' characteristics such as gender, age, driving experience, and so on. There are two test methods applied for the analysis of the characteristics of the drivers' preview distance - real driving test for the subjective evaluation and simulator test equipped with eye tracking system for the objective evaluation. On the basis of the results from two test methods, it is concluded that the main parameters affecting the preview distance, which varies along with drivers' characteristics, are the road curvature and the vehicle speed among external stimuli.