| 제목 |
Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style |
| 분야 |
ADAS, AI, Autonomous Vehicles |
| 언어 |
English |
| 저자 |
Hui Song(School of Mechanical and Automotive Engineering , Qingdao University of Technology), Dayi Qu(School of Mechanical and Automotive Engineering , Qingdao University of Technology), Tao Wang(School of Mechanical and Automotive Engineering , Qingdao University of Technology), Liyuan Ji(School of Mechanical and Automotive Engineering , Qingdao University of Technology) |
| Key Words |
Car-following model, Driving behavior, Driving style, Full velocity difference model, Psychological field theory |
| 초록 |
To analyze the car-following behavior accurately, this paper takes the drivers’ psychological factors into the consideration based on the psychological field theory. The vehicle dynamics indexes are extracted through vehicle history trajectories and the driving styles are clustered by k-means methods. After that the perception coefficient, reaction coefficient, and driving style correction coefficient are obtained and integrated into the psychological field for characterizing the drivers’ driving styles. The psychological car-following model which considers the driving styles is built based on the Full Velocity Difference (FVD) model. Finally, the model is validated under the MATLAB/Simulink environment and the result reveals that the psychological field car-following model achieves higher accuracy of characterizing car-following behavior compared with the FVD model and the interaction potential model. |
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