| Citation: | LYU Nengchao, GAO Jinjin, WANG Weifeng, WANG Yugang. Classification of Driving Style Using Simplified Features of Headway Under the Connected Vehicles Environment[J]. Journal of Transport Information and Safety, 2022, 40(1): 116-125. doi: 10.3963/j.jssn.1674-4861.2022.01.014
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Based on current data collection techniques from connected vehicles, this paper aims to classify driving styles(i.e., driving habits or behavior)by analyzing driving modes which is defined as time headway in 3 s. Specifically, driving modes are quantitatively classified by time headway and typical driving modes reflecting each driving style are identified according to the calibrated driving styles. Evaluation score is assigned to each typical driving mode using a fuzzy classification method and the thresholds of each driving style is proposed based on the evaluation scores and the calibrated driving styles. The thresholds are applied to a test data set, which includes driving behavior data of 44 drivers, to verify the accuracy of the proposed method. In summary, three types of driving styles are identified: the evaluation score S < 64.67 is seen as the conservative driving style(CDS), the score 64.67 ≤ S < 181.20 is classified as the"regular"(that is, neither-conservation-nor-aggressive(NCNA))driving style; and the score S ≥ 181.20 is grouped into the aggressive driving style(ADS). Study results show that the accuracy of the proposed method against the testing data set is 85.7%. The proposed method uses simplified driving parameters (headway)for driving-style classification, which provides a new way for driving-style classification.
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