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Erschienen in:
2007 | OriginalPaper | Buchkapitel
Spatio-temporal Similarity Measure Algorithm for Moving Objects on Spatial Networks
verfasst von : Jae-Woo Chang, Rabindra Bista, Young-Chang Kim, Yong-Ki Kim
Erschienen in: Computational Science and Its Applications – ICCSA 2007
Verlag: Springer Berlin Heidelberg
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In this paper, we propose a new spatio-temporal similarity measure to compute spatio-temporal relevance between two trajectories of moving objects on road networks, which is known as spatio-temporal distance (STDist). In addition, we provide a similar trajectory search algorithm to retrieve similar trajectories based on the proposed measure i.e., a combination of both spatial and temporal properties with respect to the motion of a given query trajectory. The performance evaluation shows that our approach outperforms the existing work in terms of searching similar trajectories of moving objects on road networks.