Abstract
Recently, with the advances in mobile technology and emerging mobile applications, moving objects databases have become the focus of much research. A number of models have been proposed to handle the continuously changing geometries and positions of moving objects. While most of these models focus on managing the historical and current motion of moving objects, only a few of them have been proposed to deal with their future movements. Due to the complexity of handling the uncertainty aspect associated with future movements, these models are often restricted to a specific type of constrained movement and tailored to a certain application domain by integrating specific prediction techniques. These predictions are often based only on the past and current movements and neglect external domain-specific information which may significantly affect the future movements of moving objects. In this paper, we emphasize the separation of moving object models and prediction methods and propose a universal abstract model for future movements of moving objects. This abstract model serves as a conceptual basis for all future movement models as well as poses object requirements for the output of all prediction methods.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
N. Pelekis, B. Theodoulidis, I. Kopanakis, and Y. Theodoridis. Literature Review ofSpatio-Temporal Database Models. Knowledge Engineering Review, 2005.
R.H. Giiting, M.H. Bohlen, M. Erwig, C.S. Jensen, N.A. Lorentzos, M. Schneider, and M Vazirgiannis. A Foundation for Representing and Querying Moving Objects. ACMTrans. on Database Systems (TODS), 25(1):881–901, 2000.
E. Tossebro and R.H. Giiting. Creating Representations for Continuously Moving Regionsfrom Observations. In Int. Symp. on Advances in Spatial and Temporal Databases,pages 321–344, 2001.
M. Erwig, R.H. Giiting, M. Schneider, and M. Vazirgiannis. Abstruct and Discrete Modelingof Spatio-Temporal Data Types. In ACM Symp. on Geographic Information Systems(ACM GIS), pages 131–136, 1998,.
L. Forlizzi, R.H. Giiting, E. Nardelli, and M. Schneider. A Data Model and Data Structuresfor Moving Objects Databases. In ACM SIGMOD Int. Conf. on Management ofData, pages 319–330, 2000,.
M. Erwig, R.H. Giiting, M. Schneider, and M. Vazirgiannis. Spatio-Temporal Data Types:An Approach to Modeling and Querying Moving Objects in Databases. GeoinformaticaJournal, 3(3):265–291, 1999.
Jose A. Cotelo Lema, L. Forlizzi, R.H. Giiting, E. Nardelli, and M. Schneider. Algorithmsfor Moving Objects Databases. The Computer Journal, 46(6):680–712, 2003.
A.P. Sistla, O. Wolfson, S. Chamberlain, and S. Dao. Modeling and Querying MovingObjects. In Int. Conf. on Data Engineering (ICDE), pages 422–432, 1997.
K. Hinrichs G. Trajcevski, O. Wolfson and S. Chamberlain. Managing Uncertainty inMoving Objects Databases. ACM Trans, on Database Systems (TODS), 29:463–507,2004.
H. Mokhtar and J. Su. Universal Trajectory Queries for Moving Object Databases. In Int.Conf. on Mobile Data Management (MDM). IEEE Computer Society, 2004.
Y. Guo S. Grumbach J. Chen, X. Meng and H. Sun. Modeling and Predicting FutureTrajectories of Moving Objects in a Constrained Network. In Int. Conf. on Mobile DataManagement (MDM), page 156, 2006.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Praing, R., Schneider, M. (2007). A Universal Abstract Model for Future Movements of Moving Objects. In: Fabrikant, S.I., Wachowicz, M. (eds) The European Information Society. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72385-1_6
Download citation
DOI: https://doi.org/10.1007/978-3-540-72385-1_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72384-4
Online ISBN: 978-3-540-72385-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)