DocumentCode
3721420
Title
Large scale trajectory data management
Author
Ayong Ye; Yongxing Zheng
Author_Institution
Key Lab of Network Security and Cryptology, Fujian Normal University, Fuzhou, China
fYear
2015
fDate
7/1/2015 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
In recent years, the wide usage of GPS-enabled devices has generated vast volumes of spatio temporal streams of location data, which raising management challenges, such as efficient storage and querying. Therefore, compression techniques are inevitable also in the field of moving object databases. In this paper, we propose a line simplification technique to compress moving object trajectories, which take the change of moving direction as the judgmental threshold to collect GPS points. The efficiency of our technique is demonstrated through an extensive experimental evaluation on trajectory data using real trajectory datasets collected by Geolife project.
Keywords
"Trajectory","Global Positioning System","Mobile communication","Compression algorithms","Time complexity","Dead reckoning","Data mining"
Publisher
ieee
Conference_Titel
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
Type
conf
DOI
10.1109/LISS.2015.7369700
Filename
7369700
Link To Document