Mobile users: to update or not to update?
Wireless Networks
Updating and Querying Databases that Track Mobile Units
Distributed and Parallel Databases - Special issue on mobile data management and applications
Locating Objects in Mobile Computing
IEEE Transactions on Knowledge and Data Engineering
Cost and Imprecision in Modeling the Position of Moving Objects
ICDE '98 Proceedings of the Fourteenth International Conference on Data Engineering
Moving Objects Databases: Issues and Solutions
SSDBM '98 Proceedings of the 10th International Conference on Scientific and Statistical Database Management
A predictive location model for location-based services
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Managing Moving Objects on Dynamic Transportation Networks
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
A Weight-based Map Matching Method in Moving Objects Databases
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
Techniques for Efficient Road-Network-Based Tracking of Moving Objects
IEEE Transactions on Knowledge and Data Engineering
On map-matching vehicle tracking data
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Adaptive nearest neighbor queries in travel time networks
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Generic Adaptive Moving Object Tracking Algorithms
ICPP '06 Proceedings of the 2006 International Conference on Parallel Processing
Continuous nearest neighbor monitoring in road networks
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
TRAX: real-world tracking of moving objects
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Partition-based lazy updates for continuous queries over moving objects
Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
Efficient Cost-Based Tracking of Scheduled Vehicle Journeys
MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Similarity-based prediction of travel times for vehicles traveling on known routes
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
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Recently, real-time monitoring of moving objects (MOs), such as cars and humans, has attracted interest. In these systems, tracking trajectories and positions of MOs accurately and for the least communication cost is an important goal. To achieve this, MO position prediction is important. Some studies have proposed real-time monitoring systems that share route information between MOs and a server to predict MO position; however, these systems target public transportation, such as buses, for which the route is always fixed. To the best of the authors' knowledge, a real-time monitoring method for sharing route information between passenger cars and a central server does not exist. This paper proposes such a method using the sharing of frequently used routes (FUR) data between each MO and the server. The server and the MO predict near-future position of MO on the basis of the FUR information using a common algorithm. When the position of the MO deviates from the prediction, it sends a message to the server to maintain position synchronization. This paper evaluates the proposed method using real trajectories of cars and shows that the proposed method outperforms the conventional method, that is, dead-reckoning on a road network.