The invention discloses a driver road rage real-time identification and warning method based on facial features. The method comprises the following steps: first, using Kinect to track the face of a driver from real-time video data, and extracting a RGB image and a depth image of the driver face; and then, carrying out graying, image size normalization, median filtering for noise removing and other preprocessing operations on the two types of image information, inputting the image information into a trained CNN model to extract features, inputting the extracted features in a Softmax classifier for classification, fusing the classification results of 30 continuous frames of the RGB image and the depth image of the face, calculating the probability values of two channel confidences, comparing the two confidences, taking the result of highest confidence as a driver facial expression final identification result, and warning the driver according to the identification result. According to the invention, RGB-D driver face feature information is fused, and angry feelings of drivers can still be identified in real time and with high accuracy and warning can be carried out in a night or bad driving environment.