A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
Generating spatiotemporal datasets on the WWW
ACM SIGMOD Record
Optimizing multidimensional index trees for main memory access
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
A Framework for Generating Network-Based Moving Objects
Geoinformatica
Novel Approaches in Query Processing for Moving Object Trajectories
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Detection and Recovery Techniques for Database Corruption
IEEE Transactions on Knowledge and Data Engineering
Indexing the past, present, and anticipated future positions of moving objects
ACM Transactions on Database Systems (TODS)
Development of an embedded spatial MMDBMS for spatial mobile devices
W2GIS'05 Proceedings of the 5th international conference on Web and Wireless Geographical Information Systems
A critical evaluation of location based services and their potential
Journal of Location Based Services
An efficient compression technique for a multi-dimensional index in main memory
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
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Recently with the growth of the Internet and the activation of wireless communication, telematics services are emerging as promising next-generation business in the IT area. In order to provide telematics services, technologies in various areas are required but particularly DBMS technology for efficient data processing and management is an essential key technology for all types of telematics services. This paper designed and implemented TMOM (Telematics Moving Object Main Memory DBMS) to meet efficiently the requirements that telematics services should be provided in real-time. TMOM follows the spatial data model of OpenGIS “Simple Features Specification for SQL”, and provides spatial, spatio-temporal and temporal types and corresponding operators for processing the moving object data. In addition, it supports optimized spatial, spatio-temporal and trajectory indexes in the main memory for fast search of large moving object data and provides a recovery function that can minimize disk input-output to maximize system performance. Also, for high transmission efficiency in data import/export between telematics applications and a back-end DBMS, it supports a compression function and a data caching function suitable for the characteristics of spatial data.