Discovery of stop regions for understanding repeat travel behaviors of moving objects

Huang, Guangyan, He, Jing, Zhou, Wanlei, Huang, Guang-Li, Guo, Limin, Zhou, Xiangmin and Tang, Feiyi 2016, Discovery of stop regions for understanding repeat travel behaviors of moving objects, Journal of computer and system sciences, vol. 82, no. 4, pp. 582-593, doi: 10.1016/j.jcss.2015.10.006.

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Title Discovery of stop regions for understanding repeat travel behaviors of moving objects
Author(s) Huang, GuangyanORCID iD for Huang, Guangyan
He, Jing
Zhou, WanleiORCID iD for Zhou, Wanlei
Huang, Guang-Li
Guo, Limin
Zhou, Xiangmin
Tang, Feiyi
Journal name Journal of computer and system sciences
Volume number 82
Issue number 4
Start page 582
End page 593
Total pages 12
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-06
ISSN 0022-0000
Summary GPS trajectory dataset with high sampling-rates is usually in large volume that challenges the processing efficiency. Most of the data points on trajectories are useless. This paper summarizes trajectories using stop points. We define a new concept of stay stability (i.e., time dividing distance or reciprocal of speed) between any two GPS points to detect stop points on individual trajectories. We propose a novel Mining Repeat Travel Behaviors Using Stop Regions (MRTBUSR) method. In MRTBUSR, a stop region is a popular region containing a certain number of close stop points that can be grouped into a cluster. We then retrieve common sequences of stop regions to denote repeat route patterns and further analyze the stop durations on a stop region to find repeat travel behaviors. The experiments on 20 labeled trajectories selected from GeoLife demonstrated the semantic effect, accuracy and near linear efficiency of our proposed method.
Language eng
DOI 10.1016/j.jcss.2015.10.006
Field of Research 080109 Pattern Recognition and Data Mining
0802 Computation Theory And Mathematics
0805 Distributed Computing
Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture)
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Grant ID DE140100387
Copyright notice ©2016, Elsevier
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Document type: Journal Article
Collection: School of Information Technology
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