基于车牌识别的交通流结构分析

交通流是交通需求在有限的时间与空间上集散现象。传统的交通流理论以流量、速度、密度这三个基本参数作为交通信息采集对象，存在信息种类少，分析手段单一等不足。以车牌号作为唯一标识，应用先进的电子信息技术采集动态的交通流信息，并结合静态的车辆档案数据，可以更全面、更精准、更深入地掌握交通流结构和规律，是对传统交通流采集方法的一次革命。

An Analysis of Traffic Volume Framework Based upon License Plate Identification

Traffic volume is the distribution of traffic demand in limited time and space. Traditional traffic volume theory takes volume, speed and density as basic parameters to collect traffic information, with the disadvantages of less information categories and unitary analyzing means. Taking the license plate as the only identifier, applying advanced electronic information technology to collecting dynamic traffic information integrated with static recorded vehicle data, we can describe the structure and orderliness of traffic volume more comprehensively, accurately and intensively, as overturns traditional means to collect traffic volume.