基于卡口系统车牌识别数据的交通状态判别方法  

Traffic state identification method based on card system license plate recognition data

作　　者：刘聪[1] 李娟[1] 马丽[2] 王进展[1] 许翔华 曲大义[1] LIU Cong LI Juan MA Li WANG Jin- zhan XU Xiang-hua QU Da-yi(School of Automobile and Transportation,Qingdao University of Technology,Qingdao 266520,China Materials and Equipment Department,Sinopec Corp. Tianjin Brach,Tianjin 300271,China)

机构地区：[1]青岛理工大学汽车与交通学院,青岛266520 [2]中国石油化工股份有限公司天津分公司物资装备部,天津300271

出　　处：《青岛理工大学学报》2017年第2期90-99,共10页Journal of Qingdao University of Technology

基　　金：国家自然科学基金资助项目(51178231)

摘　　要：车牌识别数据是一种新兴的针对城市道路行驶车辆的实时监测数据技术,具有持续生成且数据量大、时间空间相关等特性.利用车牌识别数据进行高效、准确的旅行时间计算,然后进行单车行程速度及区间平均行程速度计算,以平均速度作为判别标准,对交通拥堵的识别方法进行了研究,并进行了实例分析.结果表明,基于卡口系统车牌识别数据的应用可以获得高质量的交通数据,同时交通拥堵识别方法能够准确获得拥堵持续时间、拥堵类型等有用交通信息,从而为交通管理部门提供实时、可靠的决策依据.License plate recognition data is a kind of monitoring data for vehicles running on urban roads,which has such new features as high volume,high velocity and space-time correlation.Using the license plate recognition data for efficient and accurate travel time calculation,it computes travel speed of individual vehicle and link average travel speed.At the average speed as criterion of judging,a method of traffic congestion identification is studied,as is also verified by using measured license plate recognition data on an arterial road of a city in China.The results show that traffic data with high quality can be obtained in the application of monitoring system based on license plate recognition data,and the duration and types of traffic congestion can be obtained with the traffic congestion identification method,which will provide real-time and reliable decision basis for traffic management departments.

关 键 词：交通状态判别 车牌识别数据 区间平均速度 卡口系统 交通工程 

分 类 号：U491[交通运输工程—交通运输规划与管理]