Shape-based similarity K nearest neighbor query for trajectory of moving objects
Mobility '08 Proceedings of the International Conference on Mobile Technology, Applications, and Systems
Similarity measures for trajectory of moving objects in cellular space
Proceedings of the 2009 ACM symposium on Applied Computing
Trajectory Compression under Network Constraints
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
Proceedings of the 5th French-Speaking Conference on Mobility and Ubiquity Computing
Set nearest neighbor query for trajectory of moving objects
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Research of spatio-temporal similarity measure on network constrained trajectory data
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
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
Fast and exact network trajectory similarity computation: a case-study on bicycle corridor planning
Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing
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In several applications, data objects are assumed to move on predefined spatial networks such as road segments, railways, invisible air routes. Moving objects may exhibit similarity with respect to their traversed paths, and therefore two objects can be correlated based on their path similarity. In this paper, we study similarity search for moving object trajectories for spatial networks. The problem poses some important challenges, since it is quite different from the case where objects are allowed to move without any motion restrictions. Experimental results performed on real-life spatial networks show that trajectory similarity can be supported in an effective and efficient manner, by using metric-based access methods.