首先，本文将对基础数据进行分析处理。根据车牌采集设备的特点，分析原始数

First, this article will analyze and process the basic data. According to the characteristics of the license plate collection equipment, four kinds of problems existing in the original data are analyzed, and corresponding solutions are proposed. Then, taking actual data as an example, a set of methods for analyzing and processing license plate recognition data is proposed, which evaluates the overall condition of the equipment from the macro level, and analyzes the recognition accuracy and flow accuracy of the equipment from the micro level; and then from the mathematical statistics From a point of view, analyze the noise data of the travel time, and collect scientific data to predict the travel time of the intermittent flow section.

First, this article will analyze and process the underlying data. According to the characteristics of license plate acquisition equipment, the four problems existing in the original data are analyzed and the corresponding solutions are proposed. Then, taking the actual data as an example, a set of methods for analyzing and processing license plate recognition data is proposed, the overall situation of the equipment is evaluated from the macro level, the accuracy of the identification and flow of the equipment is analyzed from the micro level, and the noise data of the travel time is analyzed from the point of view of the statistical data, and the scientific data is collected to predict the travel time of the intermittent section of the road.

首先，本文将对基础数据进行分析处理。根据车牌采集设备的特点，分析原始数据存在的4种问题，并提出相应的解决办法。然后，以实际数据为例，提出一套用于分析和处理车牌识别数据的方法，从宏观层面评价设备的整体情况，从微观层面分析设备的识别精确度与流量的精确度；再从数理统计的角度出发，对行程时间的噪音数据进行分析，搜集科学的数据用于预测间断流路段的行程时间。<br>