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This paper presents a system where the personal route of a user is predicted using a prob-abilistic model built from the historical trajectory data. Route patterns are extracted from personal trajectory data using a novel mining algorithm, Continuous Route Pattern Mining (CRPM), which can tolerate different kinds of disturbance in trajectory data.(More)
Road congestion has been one of the major issues in most metropolises, and thus, it is crucial to detect road congestions effectively and efficiently. Traditional solutions require the deployment of dedicated sensors on the roadside or on the vehicles, which suffer from high installation and maintenance costs and limited coverage. In this paper, we propose(More)