基于RFID和视频监测的城市交通运行状态模糊判别（英文）  

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

作　　者：陈征 刘钊[2] 王静 郭建华[2] CHEN Zheng;LIU Zhao;WANG Jing;GUO Jianhua(School of Automation , Nanj ing University of Science and Technology , Nanjing 210094, China;Intelligent Transportation System Research Center , Southeast University , Nanjing 210018 , Chinas;School of Transportation , Chongqing Vocational College of Transportation Chongqing 4022477, China)

机构地区：[1]南京理工大学自动化学院,南京210094 [2]东南大学智能运输系统研究中心,南京210018 [3]重庆交通职业学院交通运输学院,重庆4022477

出　　处：《交通信息与安全》2018年第2期68-75,共8页Journal of Transport Information and Safety

基　　金：国家自然科学基金项目(61573106);江苏省重点实验室项目(BM2017002)资助

摘　　要：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。In order to identify the traffic state of urban road networks for proactively supporting the traffic management,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 determined using the travel time of vehicles obtained from the RFID system and the vehicle speed collected from the video surveillance 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 data 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 

分 类 号：U491[交通运输工程—交通运输规划与管理]