The invention relates to a global vehicle track splicing method based on double matching, and the method comprises the following steps: obtaining global vehicle track data from different data sources, and carrying out the data preprocessing, and obtaining the vehicle track data of a superposed region; performing time error verification on the vehicle track data of the overlapped area of different data sources; carrying out arrival sequence coding and arrival sequence matching on the vehicle trajectory data based on the trajectory arrival features; performing time sequence similarity matching based on a dynamic time warping algorithm; and comparing and checking the arrival sequence matching result and the time sequence similarity matching result to complete global vehicle trajectory splicing. Compared with the prior art, the method has the advantages that the trajectory of the overlapping area is used as a splicing basis, the problem of large error in a data source without the overlapping area is avoided, and the matching precision is improved based on dual matching of time sequence similarity and arrival sequence features.
本发明涉及一种基于双重匹配的全域车辆轨迹拼接方法,包括以下步骤:获取来自不同数据源的全域车辆轨迹数据并进行数据预处理,得到重合区域车辆轨迹数据;对不同数据源的重合区域车辆轨迹数据进行时间误差校验;基于轨迹到达特征对车辆轨迹数据进行到达序列编码和到达序列匹配;基于动态时间规整算法进行时间序列相似性匹配;对到达序列匹配结果和时间序列相似性匹配结果进行对比和校验,完成全域车辆轨迹拼接。与现有技术相比,本发明采用重合区域的轨迹为拼接基础,避免了没有重合区域数据源中误差较大的问题,并基于时间序列相似性以及到达序列特征双重匹配,提高了匹配精度。
Universe vehicle track splicing method based on double matching
一种基于双重匹配的全域车辆轨迹拼接方法
2023-06-23
Patent
Elektronische Ressource
Chinesisch
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