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Research on Driving Style Identification Method Based on Fusion of Subjective and Objective
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Hui Zhang1, Jingyan Zhou2, Huitong Fu1, Zhichao Xing2
Automotive Engineer | 2024, (11) : 13 - 19
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Automotive Engineer | 2024, (11): 13-19
Research on Driving Style Identification Method Based on Fusion of Subjective and Objective
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Hui Zhang1, Jingyan Zhou2, Huitong Fu1, Zhichao Xing2
Affiliations
  • 1 CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300
  • 2 China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd., Beijing 100176
Published: 2024-11-15 doi: 10.20104/j.cnki.1674-6546.20240127
Outline
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For the issue of driving style identification, this paper proposes a method based on subjective and objective fusion. Firstly, the subjective style scale is developed and transformed into subjective factors. Secondly, a data acquisition system is implemented to gather the natural driving data and the basic behavior scenarios of car following and lane changing are mined. Thirdly, the fusion of subjective and objective identification system of driving style is constructed by extracting the key behavioral characteristics and subjective factors. Based on Principal Component Analysis (PCA) and K-means methods, the sample set is processed and the clustering results are verified. Finally, specific characteristics with physical significance are introduced to identify radical, moderate and conservative driving styles. The results reveal a strong correlation between the distribution of subjective style factors and objective behavioral characteristics, and the fusion method can be used to identify driving style effectively.

Driving style  /  Subjective factor  /  Natural driving data  /  Key behavioral characteristic  /  Fusion of subjective and objective
Hui Zhang, Jingyan Zhou, Huitong Fu, Zhichao Xing. Research on Driving Style Identification Method Based on Fusion of Subjective and Objective[J]. Automotive Engineer, 2024 , (11) : 13 -19 . DOI: 10.20104/j.cnki.1674-6546.20240127
Year 2024 volume Issue 11
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Article Info
doi: 10.20104/j.cnki.1674-6546.20240127
  • Online Date:2025-11-25
  • Published:2024-11-15
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  • Revised:2024-05-27
Affiliations
    1 CATARC (Tianjin) Automotive Engineering Research Institute Co., Ltd., Tianjin 300300
    2 China Intelligent and Connected Vehicles (Beijing) Research Institute Co., Ltd., Beijing 100176
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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