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...

Full description

Saved in:
Bibliographic Details
Published in大数据 Vol. 4; p. 2018052
Main Authors Yurui LI, Hongmei CHEN, Lizhen WANG, Qing XIAO
Format Journal Article
LanguageChinese
Published China InfoCom Media Group 01.09.2018
Subjects
stay point;density;time continuity
Online AccessGet full text

Cover

More Information
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.
ISSN:2096-0271