关键词: 交通工程, 交互, 驾驶风格, 模糊聚类, 识别模型

Abstract:  A real-time driving style identification method for dangerous drivers is studied. A driving style identification model considering the interaction between drivers and the surrounding environment is proposed.Based on the data collected by simulated driving, 3 s as the time window.Real-time lateral offset, following distance and driver’s gaze point position are transformed into driving style characterization factors. FCM-M(Fuzzy C-mean-M) is used to cluster drivers’ driving styles.The real-time driving style is classified as grumpy, impulsive, ordinary and conservative.Construct neural network model to identify real-time driving style.The results show that the fluctuation of driver’s driving style is closely related to the change of driver’s gaze point.The neural network model has the highest recognition accuracy of 99.1% for driving style, which shows a good prediction effect.