Time-parameterized queries in spatio-temporal databases
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Capturing the Uncertainty of Moving-Object Representations
SSD '99 Proceedings of the 6th International Symposium on Advances in Spatial Databases
Managing uncertainty in moving objects databases
ACM Transactions on Database Systems (TODS)
An efficient and scalable approach to CNN queries in a road network
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Supporting uncertainty in moving objects in network databases
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Continuous nearest neighbor search
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Voronoi-based K nearest neighbor search for spatial network databases
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
CarWeb: A Traffic Data Collection Platform
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Exploring Spatio-Temporal Features for Traffic Estimation on Road Networks
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
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In this paper, we first introduce the traffic status estimation service, a location-based continuous range query application provided by the CarWeb system. The service provides users nearby realtime traffic estimation according to their locations and moving behaviors. This paper focuses on how to provide users with the most relevant information efficiently and accurately. We propose the Continuous Query with Dynamic Fan-Shape framework (CQ-DFS) which dynamically changes parameters of fan shape range query to efficiently acquire more useful query results without compromising the performance of the system. We conduct extensive experiments to demonstrate the effectiveness of CQ-DFS framework by using real world vehicle trajectories.