关键词: 模式识别, 全球卫星定位系统轨迹, 道路线形, LVQ-Boosting算法, 分类器

Abstract: Updating road information database in the sustainability, a road alignment identification model based on LVQ-Boosting approach was proposed, which utilized a large number of path tracking trajectory data generated by car GPS for capturing quickly changes in road information. The approach further improved the generalization ability of LVQ and obtained a classifier with strong classification performance through employing weak classification algorithm. Thus, the purposes for identifying automatically the features of the road alignment and fast grouping the road feature type were implemented. The experimental results show that the approach has high efficiency and accuracy of the road alignment identification.

Key words: pattern recognition, Global Positioning System （GPS） track, road alignment, Learning Vector Quantization (LVQ)-Boosting algorithm, classifier