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	Online Learning for Accurate Real-Time Map Matching
	Liang, Biwei ; Wang, Tengjiao ; Li, Shun ; Chen, Wei ; Li, Hongyan ; Lei, Kai
	2016
关键词	Real-time map-matching Online learning Without human labeling ALGORITHMS
英文摘要	For the reason that deviation exists between GPS traces obtained by real-time positioning system and actual paths, real-time map matching which identifies the correct traveling road segment, becomes increasingly important. In order to effectively improve map matching accuracy, most state-of-art real-time map matching algorithms use machine learning which calls for time-consuming human labeling in advance. We propose an accurate real-time map matching method using online learning called OLMM. It takes into account a small piece of trajectory data and their matching result to support the subsequent matching process. We evaluate the effectiveness of the proposed approach using ground truth data. The results demonstrate that our approach can obtain more accurate matching results than existing methods without any human labeling beforehand.; CPCI-S(ISTP); 1301213711@sz.pku.edu.cn; tjwang@pku.edu.cn; ls1977@gmail.com; 67-78; 9652
语种	英语
出处	20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
DOI标识	10.1007/978-3-319-31750-2_6
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/460068]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Liang, Biwei,Wang, Tengjiao,Li, Shun,et al. Online Learning for Accurate Real-Time Map Matching. 2016-01-01.

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