Abstract
The trajectory prediction is an important part for the management of moving objects. For example, it can be used to improve the performance of the location update strategy and to support the predictive index and queries. In this chapter, we first review some linear prediction methods and analyze their problem in handling moving objects in spatial networks, and then present our simulation-based prediction methods: Fast-Slow Bounds Prediction and Time-Segment Prediction.
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References
Aggarwal C, Agrawal D (2003) On Nearest Neighbor Indexing of Nonlinear Trajectories. In: Proceedings of the 22nd ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS 2003), San Diego, California, USA, pp 252–259
Karimi HA, Liu X (2003) A Predictive Location Model for Location-Based Services. In: Proceedings of the 11st ACM International Symposium on Advances in Geographic Information Systems (GIS 2003), New Orleans, Louisiana, USA, pp 126–133
Tao Y, Faloutsos C, Papadias D, Liu B (2004) Prediction and Indexing of Moving Objects with Unknown Motion Patterns. In: Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data (SIGMOD 2004), Paris, France, pp 611–622
Xu B, Wolfson O (2003) Time-Series Prediction with Applications to Traffic and Moving Objects Databases. In: Proceedings of the 3rd ACMInternationalWorkshop on Data Engineering for Wireless and Mobile Access (MobiDE 2003), San Diego, California, USA, pp 56–60
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© 2010 Tsinghua University Press, Beijing and Springer-Verlag Berlin Heidelberg
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Chen, J., Meng, X. (2010). Trajectory Prediction of Moving Objects. In: Moving Objects Management. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13199-8_7
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DOI: https://doi.org/10.1007/978-3-642-13199-8_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13198-1
Online ISBN: 978-3-642-13199-8
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