Conference Proceedings

Querying continuous recurrent convoys of interest

ME Yadamjav, Z Bao, FM Choudhury, H Samet, B Zheng

SIGSPATIAL '19: Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems | ACM | Published : 2019


Moving objects equipped with location-positioning devices continuously generate a large amount of spatio-temporal trajectory data. An interesting finding over a trajectory stream is a group of objects that are travelling together for a certain period of time. Existing studies on mining co-moving objects do not consider an important correlation between co-moving objects, which is the reoccurrence of the movement pattern. In this study, we define a problem of finding recurrent pattern of co-moving objects from streaming trajectories and propose an efficient solution that enables us to discover recent co-moving object patterns repeated within a given time period. Experimental results on a real-..

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Awarded by Australian Research Council

Funding Acknowledgements

This research was supported in part by ARCDP170102726, DP180102050, NSFC 61728204, 91646204, the NationalResearch Foundation, Prime Ministers Oce, Singapore under itsInternational Research Centres in Singapore Funding Initiative, andthe National Science Foundation of the US under grant IIS-1816889

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