Vehicle flow positioning and real-time monitoring based on RFID vehicle flow speeding automatic monitoring algorithm

Highway traffic safety management is an essential part of the highway operation management system. It plays a vital role in ensuring highway traffic safety and clear roads. In this paper, an accurate real-time positioning and monitoring algorithm based on RFID vehicle flow speeding automatic monitoring. The highway speed measurement system is used to collect the data on the traffic flow and speed of vehicles passing Shanfen highway monitoring point. Through statistical analysis of sample data in the traffic database, the changes in the average speed, speeding volume and rate in this section before and after the enforcement of illegal speeding vehicles were compared and analyzed by the speed measurement system. The positioning and real-time monitoring were completed by extracting the feature information of the visual perception images in the positioning and real-time monitoring range based on the visual perception technology. The inertial information is combined to perform unscented Kalman filtering to improve the accuracy further. Based on the simulation results, the impact of the detection line setting on the detection accuracy is analyzed, the detection and discrimination process of the detection algorithm is described, the theoretical calculation of the maximum detection speed is conducted, and the rapid recovery technology research on the false detection is performed.