Traffic congestion analysis based on association rules
Lin Gao, Shangfei Gao · 2017
With the rapid development of intelligent transportation systems, modern society is at an unimaginable speed to produce massive data. How to make full use of valuable information in big data is particularly important. This paper summarizes the basic concepts of association rule mining and how to use the Apriori algorithm for correlation analysis in massive data. In addition, the Apriori algorithm is used to analyze the traffic congestion, generating the valuable information. Finally, the validity of the designed algorithm is verified by the simulation test.