Forecast of Traffic Safety Based on Fuzzy Generalized Neural Network

Considering a number of factors affecting traffic safety, the predetermination model for traffic safety of fuzzy generalized neural network was built in this paper. This was a combination of neural networks with fuzzy algorithms, through the study of present road safety situations in China, and the summary of domestic and broad documents. This method was based on MATLAB programming, and fuzzy revised generalized learning vector quantization modeling; fuzzy generalized neural networks had to be used to cope with subjective factors in traffic accident prediction and improve the computations of the predetermination model for traffic safety. The theoretical analysis and experimental results indicated that the model was effective for the good function of nonlinear mapping and generalization, and can be applied to forecast traffic accident suitably.