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
Spatio-temporal similarity measure algorithm for moving objects on spatial networks
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
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Even though moving objects usually move on spatial networks, there has been little research on trajectory indexing schemes for spatial networks, like road networks. In this paper, we propose an efficient indexing scheme for moving objects' trajectories on road networks. For this, we design a signature-based indexing scheme for efficiently dealing 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 initial information of moving objects' trajectories and one to store their segment information. We also provide a retrieval algorithm to find a set of moving objects whose trajectories match the segments of 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.