Psychological Field Effect Analysis and Car-Following Behavior Modeling Based on Driving Style

被引:3
作者
Song, Hui [1 ]
Qu, Dayi [1 ]
Hu, Chunyan [1 ]
Wang, Tao [1 ,2 ]
Ji, Liyuan [1 ]
机构
[1] Qingdao Univ Technol, Sch Mech & Automot Engn, Qingdao 266520, Peoples R China
[2] Zibo Vocat Inst, Sch Artificial Intelligence & Big Data, Zibo 255300, Peoples R China
基金
中国国家自然科学基金;
关键词
Car-following model; Driving behavior; Driving style; Full velocity difference model; Psychological field theory;
D O I
10.1007/s12239-024-00079-7
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
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.
引用
收藏
页码:1065 / 1076
页数:12
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