基于车牌识别数据的交通拥堵识别方法

Traffic congestion identification method based on license plate recognition data

摘要:

针对目前缺少基于车牌识别数据的交通拥堵识别方法的相关研究,使得建设及维护成本均较高的车牌识别系统只能实现交通监控、流量检测等初级功能,导致系统性价比较低的问题,分别设计了基于车牌识别数据的单车行程速度采集方法及区间平均行程速度采集方法,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,单车行程速度采集方法及区间平均行程速度采集方法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.

Abstract:

According to the problem of low performance price ratio of license plate recognition systems which are just for traffic monitoring,traffic flow measurement etc,and the lack of researches on traffic congestion identification methods based on license plate recognition data at present,methods for collecting travel speed of individual vehicle and link average travel speed are designed,and based on these,a method of traffic congestion identification is studied,which is also verified by using measured license plate recognition data on a arterial road of a city in China.The results show that traffic data with high quality can be obtained using the travel speed collection methods,and the duration and types of traffic congestion can be obtained using the traffic congestion identification method,which will provide real-time and reliable decision basis for traffic management departments.