CAJ | 학술논문

驾驶倾向特征的实时辨识，对安全驾驶有积极的意义，但实时并准确识别驾驶倾向却是难点．通过分析驾驶倾向的外在表现，选取驾驶行为中的刹车频率、加油频率、刹车紧急程度和加油紧急程度作为评价指标，以实车试验获取的各评价指标数据为基础，运用BP神经网络构建驾驶倾向特征辨识模型，实现从驾驶行为到驾驶倾向的辨识．经验证，该模型识别率可达89．2％．
가사경향특정적실시변식，대안전가사유적겁적의의，단실시병준학식별가사경향각시난점．통과분석가사경향적외재표현，선취가사행위중적찰차빈솔、가유빈솔、찰차긴급정도화가유긴급정도작위평개지표，이실차시험획취적각평개지표수거위기출，운용BP신경망락구건가사경향특정변식모형，실현종가사행위도가사경향적변식．경험증，해모형식별솔가체89．2％．
Real-time recognition of driving tendency has a positive meaning in safe driving ,but it is difficult to identify driving tendency real time and accurately .We select the driver's braking fre-quency ,acceleration frequency ,emergency degree of braking and acceleration as the evaluation index through analyzing the external expressions of driving tendency ,obtain each evaluation in-dex data from the real vehicle test which will be used to construct training samples ,build driving tendency identification model and realize the recognition from the driving behavior to the driving tendency using BP neural network .This model is verified and the recognition rate is 89 .2% .