Real-time prediction of urban traffic flow based on data mining

Using data mining technology, through the analysis of historical data, the traffic flow in the next time interval can be predicted. Cluster analysis can be used to optimize the control effect of a single intersection control algorithm. Correlation analysis can be used to infer the traffic flow of related road sections to achieve real-time traffic flow guidance and information release. It is of great significance for alleviating urban traffic congestion and improving the transportation efficiency and safety of the urban road network.