An efficient online direction-preserving compression approach for trajectory streaming data
Authors:
- Ze DengZDZe Deng
- Wei HanWHWei Han
- Lizhe WangLWLizhe Wang
- Rajiv RanjanRRRajiv Ranjan
- Albert Y. ZomayaAlbert Y. Zomaya
- Wei JieWJWei Jie
Open Access
- 1 March 2017
- journal article
- Published by Elsevier in Future Generation Computer Systems
- Vol. 68, 150-162
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Science and Technology of China (2016ZX05014-003)
- China Postdoctoral Science Foundation (2014M552112)
- China University of Geosciences (Wuhan) (1610491B24)
This publication has 14 references indexed in Scilit:
- Bounded Quadrant System: Error-bounded trajectory compression on the go2015
- Distributed Generation Placement for Power Distribution NetworksJournal of Circuits, Systems and Computers, 2014
- Trajectory simplificationProceedings of the VLDB Endowment, 2014
- BFS-4K: An Efficient Implementation of BFS for Kepler GPU ArchitecturesIEEE Transactions on Parallel and Distributed Systems, 2014
- Direction-preserving trajectory simplificationProceedings of the VLDB Endowment, 2013
- Compression of trajectory data: a comprehensive evaluation and new approachGeoInformatica, 2013
- Efficient real-time trajectory trackingThe VLDB Journal, 2011
- Spatiotemporal Compression Techniques for Moving Point Objects2004
- Random sampling with a reservoirACM Transactions on Mathematical Software, 1985
- ALGORITHMS FOR THE REDUCTION OF THE NUMBER OF POINTS REQUIRED TO REPRESENT A DIGITIZED LINE OR ITS CARICATURECartographica, 1973