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• W2503322084 abstract "Moving objects gathering pattern represents a group events or incidents that involve congregation of moving objects, enabling the analysis of traffic system. However, effectively and efficiently discovering the specific gathering pattern turns to be a remaining challenging issue since the large number of moving objects will generate high volume of trajectory data. In order to address this issue, the authors propose a moving object gathering pattern retrieving method that aims to support the retrieving of gathering patterns based on spatio-temporal graph. In this method, firstly the authors use an improved R-tree based density clustering algorithm (RT-DBScan) to index the moving objects and collect clusters. Then, they maintain a spatio-temporal graph rather than storing the spatial coordinates to obtain the spatio-temporal changes in real time. Finally, a gathering retrieving algorithm is developed by searching the maximal complete graphs which meet the spatio-temporal constraints. To the best of their knowledge, effectiveness and efficiency of the proposed methods are outperformed other methods on both real and large trajectory data." @default.
• W2503322084 created "2016-08-23" @default.
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• W2503322084 date "2016-07-01" @default.
• W2503322084 modified "2023-09-23" @default.
• W2503322084 title "Moving Objects Gathering Patterns Retrieving based on Spatio-Temporal Graph" @default.
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• W2503322084 doi "https://doi.org/10.4018/ijwsr.2016070105" @default.
• W2503322084 hasPublicationYear "2016" @default.
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