Application of Artificial Intelligence Algorithms in Smart Traffic Data Processing and Analysis

In order to reduce the occurrence of accidents, a research on the application of artificial intelligence algorithm in intelligent traffic data processing and analysis is presented. Then, the Transformer model prediction method is used to predict the congestion index. In the prediction process, the experimental methods of MSE (Mean square error) and MAE (Mean Absolute error) are used to compare the results predicted by the Transformer model and the CNN model. By using the exponential smoothing method, the congestion index of November 28, 2024 is predicted to be 1.330, and the mean square error value and mean absolute error value of the Transformer model are less than that of the CNN model, which indicates that the traffic congestion index can be predicted by artificial intelligence algorithm to reduce the traffic flow, reduce the occurrence of traffic accidents.