Map Matching Integration Algorithm Based on Historical Trajectory Data

被引：2
作者：
Lai, Xin [1 ]
Chen, Jianhua [1 ]
Cao, Jingjing [1 ]
Xia, Fei [1 ]
机构：
[1] Wuhan Univ Technol, Sch Logist Engn, Wuhan, Peoples R China
来源：
2019 IEEE SYMPOSIUM ON PRODUCT COMPLIANCE ENGINEERING - ASIA 2019 (IEEE ISPCE-CN 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
Map Matching; Trajectory Clustering; GPS Data; Algorithm Integration;
D O I：
10.1109/ispce-cn48734.2019.8958632
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The insufficient accuracy of GPS technology leads to the sampling trajectory data being away from the actual road. In order to improve the accuracy of GPS trajectory data for matching to map, a map matching integration algorithm based on historical trajectory data is proposed. Firstly projection distance and hidden Markov model are used respectively to compare the matching results. Then the difference road segments are found and the DBSCAN algorithm is used to cluster the historical trajectory data to adjust the segments. Our experiment uses the truck trajectory data to test the algorithm. The results show that the map matching integration algorithm effectively improves the accuracy of map matching.
引用
收藏
页码：25 / 30
页数：6
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