Design and Implementation of Green Traffic Monitoring System Based on Improved Apriori Algorithm

In response to the current problems of lack of flexibility, insufficient data collection and analysis capabilities, and insufficient environmental friendliness in the design of green traffic monitoring systems, this paper conducted research on green traffic monitoring systems based on the improved Apriori algorithm. As an important means to achieve green transportation, the green traffic monitoring system needs to be able to obtain and process a large amount of traffic data in real-time and accurately. This article utilized the improved Apriori algorithm to design the system, which enhanced the traffic monitoring system. The real-time information transmission design and traffic flow monitoring module were thoroughly studied, improving the accuracy and efficiency of system monitoring. The results showed that the accuracy of vehicle speed monitoring in the system designed based on the improved Apriori algorithm was above 96.8%. After 20 experiments, the average accuracy of vehicle speed monitoring was 98.01%. The green traffic monitoring system based on improved Apriori algorithm can effectively mine association rules in traffic data, providing scientific and accurate decision-making basis for traffic management departments.