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Review of Classification Methods and Quantitative Evaluation of Driving Behavior
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Licheng Zhang1, 2, 3, Ting Zhang1, 3, Xuerui Cai1, 3, Xiangmo Zhao1, 2, 3, Kun Peng1, 3
Automobile Technology | 2024, (5) : 1 - 14
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Automobile Technology | 2024, (5): 1-14
Review of Classification Methods and Quantitative Evaluation of Driving Behavior
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Licheng Zhang1, 2, 3, Ting Zhang1, 3, Xuerui Cai1, 3, Xiangmo Zhao1, 2, 3, Kun Peng1, 3
Affiliations
  • 1 Chang’ an University, Xi’an 710064
  • 2 The Joint Laboratory for Internet of Vehicles of Ministry of Education - China Mobile Communications Corporation, Xi’an 710064
  • 3 Shaanxi Engineering Research Center of Internet of Vehicles and Intelligent Vehicle Testing Technique, Xi’an 710064
Published: 2024-05-24 doi: 10.19620/j.cnki.1000-3703.20230028
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This study provided a review of classification methods and quantitative evaluation of driving behavior, which firstly expounded the meaning and representation methods of driving behavior, and divided the driving behavior classification methods into three categories: statistics based classification method, machine learning based classification method, and the hybrid (combination, integration) classification method. Different driving behavior classification methods were summarized from the aspects of representative algorithms, advantages and limitations. Secondly, the quantitative evaluation research of driving behavior was systematically described from multiple dimensions. Finally, the application status and prospect of driving behavior classification and quantitative evaluation results in many fields were introduced.

Traffic engineering  /  Driving behavior classification and evaluation  /  Intelligent and connected vehicle  /  Transportation safety  /  Energy saving and emission reduction  /  Comfort
Licheng Zhang, Ting Zhang, Xuerui Cai, Xiangmo Zhao, Kun Peng. Review of Classification Methods and Quantitative Evaluation of Driving Behavior[J]. Automobile Technology, 2024 , (5) : 1 -14 . DOI: 10.19620/j.cnki.1000-3703.20230028
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doi: 10.19620/j.cnki.1000-3703.20230028
  • Online Date：2025-12-23
  • Published：2024-05-24
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    1 Chang’ an University, Xi’an 710064
    2 The Joint Laboratory for Internet of Vehicles of Ministry of Education - China Mobile Communications Corporation, Xi’an 710064
    3 Shaanxi Engineering Research Center of Internet of Vehicles and Intelligent Vehicle Testing Technique, Xi’an 710064
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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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