交通信息与安全2018，Vol.36Issue(2)：68-75,8.DOI:10.3963/j.issn.1674-4861.2018.02.010
基于RFID和视频监测的城市交通运行状态模糊判别
A Fuzzy Method for Identifying Urban Traffic State Using RFID and Video Monitoring System
摘要
Abstract
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.关键词
交通状态判别/模糊评判/行程时间/车速/RFID系统/视频监测系统Key words
traffic state identification/fuzzy evaluation/travel time/vehicle speed/RFID system/video surveil-lance system分类
交通工程引用本文复制引用
陈征,刘钊,王静,郭建华..基于RFID和视频监测的城市交通运行状态模糊判别[J].交通信息与安全,2018,36(2):68-75,8.基金项目
国家自然科学基金项目(61573106)、江苏省重点实验室项目(BM2017002)资助 （61573106）
