Shape-Based Similarity Query for Trajectory of Mobile Objects
MDM '03 Proceedings of the 4th International Conference on Mobile Data Management
Similarity Search for Multidimensional Data Sequences
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Discovering Similar Multidimensional Trajectories
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Prediction and indexing of moving objects with unknown motion patterns
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Robust and fast similarity search for moving object trajectories
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Trajectory Similarity Search in Spatial Networks
IDEAS '06 Proceedings of the 10th International Database Engineering and Applications Symposium
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To find similar trajectories of a moving object has been recently an interesting issue in moving object databases due to its diverse application fields (e.g., traffic control systems, meteorology monitoring systems, etc.). In this work, trajectories are first modeled based discrete grid cells. Then, the similarity between trajectories is defined by introducing a new distance function. Furthermore, a novel nearest neighbor query for trajectory of moving objects, i.e. Set Nearest Neighbor (SNN) query is presented, and an efficient shape-based similarity algorithm for SNN is given. The performance study shows the proposed query method is efficient.