Vehicle type identification has become an important research content in intelligent transportation systems. According to the characteristics of size similar vehicle models such as long

width

height features value are similar characteristics

using the existing vehicle models database

respectively using three neural network classification methods

such as BP neural network

SVM network

supervised Kohonen network

to classify features of vehicle type size

obtain identification accuracy rate of three vehicle type and comparison and verification are carried out. Experimental results show that the classification method of supervised Kohonen network has high precision of vehicle identification

the experimental effect is obvious

and the accuracy rate of vehicle type identification is high.