Stay point identification based on density
Identifying stay points from GPS trajectory is an important preprocessing procedure of trajectory analysis and the foundation of location based service such as user behavior analysis and personal POI recommendation,and the capability of the stay point identification method has a fundamental impact o...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2018-09-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2018052 |
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| Summary: | Identifying stay points from GPS trajectory is an important preprocessing procedure of trajectory analysis and the foundation of location based service such as user behavior analysis and personal POI recommendation,and the capability of the stay point identification method has a fundamental impact on the availability and reliability of location based service.Existing methods for identifying stay points have some shortcomings due to not considering time continuity or only considering one direction of time continuity.A new method called stay point identification based on density (SPID) was proposed.SPID takes into account the spatial-temporal clustering of trajectory points,and the time directions and time continuity of trajectory points.The experimental results on Geolife dataset verify that SPID is better than the baseline methods,and can identify two kinds of stay points which can’t be found by the baseline methods. |
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| ISSN: | 2096-0271 |