The invention provides an over-limit vehicle source identification method based on vehicle multi-dimensional data analysis. The over-limit vehicle source identification method comprises the following steps: a system receives over-limit detection data of each over-limit overload detection point; selecting a time period of one or more overrun vehicles, and marking all track points of the selected vehicles in the selected time period on a map; according to each track point and the corresponding time point, gathering the track points in similar time and similar distance by using a clustering technology, and generating one or more vehicle parking areas as candidate over-limit source unit areas; according to the urban POI data, identifying the location information of the stay area, excluding candidate over-limit source unit areas from areas such as gas stations, service areas and maintenance shops, and carrying out matching analysis on the remaining areas and the location information of the key enterprises to obtain suspected source units of the over-limit vehicles; and calculating the number of overrun vehicles in each suspected overrun source unit.
本发明提供一种基于车辆多维数据分析的超限车辆源头识别方法,对超限车辆源头识别包括以下步骤:系统接收各个超限超载检测点的超限检测数据;选定一辆或多辆超限车辆的时间段,将所选时间段内所选车辆的所有轨迹点在地图上标注;根据各个轨迹点及其对应的时间点,利用聚类技术对相近时间、相近距离内的轨迹点进行汇聚,生成一个或多个车辆停留区域,作为候选超限源头单位区域;根据城市POI数据,识别停留区域的地点信息,将加油站、服务区、维修厂等区域排除候选超限源头单位区域,将剩余区域再与重点企业的位置信息进行匹配分析,得出超限车辆的疑似源头单位;计算每个疑似超限源头单位的超限车辆数。
Overrun vehicle source identification method based on vehicle multi-dimensional data analysis
一种基于车辆多维数据分析的超限车辆源头识别方法
2023-10-03
Patent
Electronic Resource
Chinese
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