A Fuzzy Method for Identifying Urban Traffic State Using RFID and Video Monitoring System

In order to identify the traffic state of urban road networks for proactively supporting the traffic manage-ment,traffic guidance and control,a traffic fuzzy identification method is proposed using the radio frequency identification (RFID)based traffic monitoring system together with the video surveillance system.In this method,traffic state is deter-mined using the travel time of vehicles obtained from the RFID system and the vehicle speed collected from the video sur-veillance system.Due to the actual traffic state can be directly observed by people from the video stream,actual traffic state threshold can be calibrated.This calibrated threshold can then be used to evaluate the performance of the proposed method.Based on the RFID and video based traffic monitoring system installed in Nanjing,the empirical results show that the proposed method is practical.The future work is recommended to promote the application of integrated traffic da-ta collection,especially RFID data in traffic management.