Gray Codes for Partial Match and Range Queries
IEEE Transactions on Software Engineering
Fractals for secondary key retrieval
PODS '89 Proceedings of the eighth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
SAC '98 Proceedings of the 1998 ACM symposium on Applied Computing
Indexing the positions of continuously moving objects
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A class of data structures for associative searching
PODS '84 Proceedings of the 3rd ACM SIGACT-SIGMOD symposium on Principles of database systems
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Novel Approaches in Query Processing for Moving Object Trajectories
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
MV3R-Tree: A Spatio-Temporal Access Method for Timestamp and Interval Queries
Proceedings of the 27th International Conference on Very Large Data Bases
Spatio-Temporal Indexing for Large Multimedia Applications
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Indexing of network constrained moving objects
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Indexing the Trajectories of Moving Objects in Networks (Extended Abstract)
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Architecture design of grid GIS and its applications on image processing based on LAN
Information Sciences—Informatics and Computer Science: An International Journal
Indexing the Trajectories of Moving Objects in Networks*
Geoinformatica
Roads, codes, and spatiotemporal queries
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Trajectory Indexing Using Movement Constraints
Geoinformatica
Dynamic histograms for future spatiotemporal range predicates
Information Sciences—Informatics and Computer Science: An International Journal
Query processing in spatial network databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
An efficient location encoding method based on hierarchical administrative district
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
Networked H∞ control of linear systems with state quantization
Information Sciences: an International Journal
A scalable constraint-based Q-hash indexing for moving objects
Information Sciences: an International Journal
Qualitative relations between moving objects in a network changing its topological relations
Information Sciences: an International Journal
Trigger Based Security Alarming Scheme for Moving Objects on Road Networks
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Inferring additional knowledge from QTCN relations
Information Sciences: an International Journal
Trajectory similarity of network constrained moving objects and applications to traffic security
PAISI'10 Proceedings of the 2010 Pacific Asia conference on Intelligence and Security Informatics
Hi-index | 0.09 |
Due to the rapid development in mobile communication technologies, the usage of mobile devices such as cell phone or PDA has increased significantly. As different devices require different applications, various new services are being developed to satisfy the needs. One of the popular services under heavy demand is the location-based service (LBS) that exploits the spatial information of moving objects per temporal changes. In order to support LBS well, in this paper, we investigate how spatio-temporal information of moving objects can be efficiently stored and indexed. In particular, we propose a novel location encoding method based on hierarchical administrative district information. Our proposal is different from conventional approaches where moving objects are often expressed as geometric points in two-dimensional space, (x,y). Instead, in ours, moving objects are encoded as one-dimensional points by both administrative district as well as road information. Our method becomes especially useful for monitoring traffic situation or tracing location of moving objects through approximate spatial queries.