Spatio-Temporal Data Management for Moving Objects

Abstract

This paper deals with spatio-temporal indexing method for moving objects. In our research, we propose XAT (extended Adaptive Tree) structure, consisting of spatial trees and temporal trees, for fast search for spatio-temporal data. The searching process in XAT structure is divided into two steps. The first step roughly narrows down the potential solutions (moving objects) according to the given searching range. The last step fixes the real solution by checking the object's moving track. We compare XAT structure and 3D structure, one of the conventional methods, by computer simulation. The result shows that XAT structure works faster than 3D structure when there is difference between the spatial search range and temporal search range and the objects' moving areas are small. © 2003, The Institute of Electrical Engineers of Japan. All rights reserved.