Inverted files versus signature files for text indexing
ACM Transactions on Database Systems (TODS)
Signature files: an access method for documents and its analytical performance evaluation
ACM Transactions on Information Systems (TOIS)
A Framework for Generating Network-Based Moving Objects
Geoinformatica
Spatial Databases-Accomplishments and Research Needs
IEEE Transactions on Knowledge and Data Engineering
Novel Approaches in Query Processing for Moving Object Trajectories
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Computational data modeling for network-constrained moving objects
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Query processing in spatial network databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
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Because moving objects usually move on spatial networks, their trajectories play an important role in indexing them for spatial network databases. In this paper, we propose a new signature-based indexing scheme for moving objects' trajectories on spatial networks. For this, we design it so that we can efficiently deal with the trajectories of current moving objects as well as for maintaining those of past moving objects. In addition, we provide both an insertion algorithm to store the segment information of moving objects' trajectories and a retrieval algorithm to find a set of moving objects whose trajectories match with a query trajectory. Finally, we show that our indexing scheme achieves much better performance on trajectory retrieval than the leading trajectory indexing schemes, such as TB-tree and FNR-tree.