A Hybrid Prediction Model for Moving Objects

By Hoyoung Jeung, Qing Liu, Heng Tao Shen, Xiaofang Zhou. IEEE International Conference on Data Engineering, 2008

308 citations recorded by the source corpus.

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Semantic trajectory mining for location prediction (2011, unknown): “Personal-based prediction [4] [11] [12] and general-based prediction [7] [8] [9] [16] [17] are two approaches often adopted in this problem domain.”
Discovering popular routes from trajectories (2011, background): “The search of popular routes in light of past movements is highly relevant to trajectory processing/querying issues, including pattern mining [7], [2], [1], [8], trajectory clustering [9], [10], hot route discovery [11], [12], trajectory prediction [3], [4], [13], etc.”
Predicting future locations with hidden Markov models (2012, background): “proposed a hybrid prediction approach which estimates future locations based on pattern information extracted from similar trajectories, together with motion functions based on recent movements [9].”
Mining periodic behaviors for moving objects (2010, background): “Moreover, periodic behaviors are useful in future movement prediction [10], especially for a distant querying time.”