基于RFID和视频监测的城市交通运行状态模糊判别

为了确定城市道路网路的交通状态,为主动的交通管理、交通诱导及控制提供支持,提出了一种基于无线射频识别(RFID)交通检测系统和视频监控系统的交通运行状态模糊判别方法.在该方法中,交通运行状态由从RFID系统获得的车辆行驶时间和从视频监控系统中获得的车辆速度决定.由于实际的交通状态可以从视频中直接观测,因此实际交通运行状态的阈值可以根据视频来校准,用以评估本文所提出方法的性能.基于安装于南京的RFID和视频交通检测系统进行实证分析,结果表明本文所提出的方法是可行的.下一步工作可推进交通数据,特别是 RFID数据在交通管理中的应用. 

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.