ROAD: An Efficient Framework for Location De-pendent Spatial Queries on Road Networks
Conference Proceeding Article
In this research, we develop ROAD, a system framework for processing location dependent spatial queries (LDSQs) that search for spatial objects of interest on road networks. By exploiting search space pruning, ROAD is very efficient and flexible for various LDSQs on different types of objects over large-scale networks. In ROAD, a large road network is organized as a set of interconnected regional sub-networks (called Rnets) augmented with 1) shortcuts for accelerating search traversals; and 2) object abstracts for guiding object search. In this poster, we outline this framework and explain how it can support efficient location-dependent nearest neighbor search.
Databases and Information Systems | Numerical Analysis and Scientific Computing
Data Management and Analytics
Proceeding of the 17th ACM conference on Information and knowledge management
LEE, Ken C. K.; LEE, Wang-chien; and ZHENG, Baihua.
ROAD: An Efficient Framework for Location De-pendent Spatial Queries on Road Networks. (2008). Proceeding of the 17th ACM conference on Information and knowledge management . 1327-1328. Research Collection School Of Information Systems.
Available at: http://ink.library.smu.edu.sg/sis_research/377