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针对传统矢量地图制作中存在的道路位置误差及当前矢量地图校正算法中存在的不足,提出了一种新的矢量地图校正算法。利用大量浮动车GPS数据的地理空间分布特征,构建了道路节点的自适应缓冲区,并对缓冲区内的有效GPS数据进行了筛选,然后通过对筛选后的GPS数据进行层次聚类分析处理,获得了更准确道路节点位置。通过对道路节点校正完成道路校正,运用该算法对重庆市某区域原始矢量地图中的道路进行了校正试验。结果表明:算法能够对存在位置误差的路段进行有效校正,且对于误差较大路段的校正效果更加明显,校正后矢量地图的平均位置误差显著降低。
Aiming at the existing problems of road position error in traditional vector map making and current vector map correction algorithms, a new vector map correction algorithm is proposed. Based on the geospatial distribution of GPS data of a large number of floating vehicles, an adaptive buffer of road nodes is constructed and valid GPS data in the buffer are screened. Then, the filtered GPS data is hierarchically clustered and analyzed, Get more accurate road node locations. By correcting the road nodes to complete the road calibration, this algorithm is used to calibrate the road in the original vector map of a certain area in Chongqing. The results show that the algorithm can effectively correct the section with the position error, and the correction effect is more obvious for the section with larger error. The average position error of the corrected vector map is significantly reduced.