The complex meteorological condition environment is one of the important reasons for the high inci-dence of traffic accidents, in which drivers’ vision find it hard to identify quickly and effectively the front vehi-cles in a low-visibility environment. But machine vision not only overcomes the biological vision restriction, but also retains the characteristics of high continuity and stability. The drivers who have experience and good mental state were selected to classify the sampled images of low visibility vehicles. Then, the LIBSVM toolbox was used to build the simulation driver classification and recognition model based on support vector machine in MAT-LAB2016b version. Finally, the test sample was used to verify the recognition rate, and the simulation results show that the recognition rate is over 90%.