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Athanasios Salamanis, Giorgos Margaritis, Dionysios D. Kehagias, Georgios Matzoulas, Dimitrios Tzovaras
Pág. 665 - 674
In this paper we propose a model for accurate traffic prediction under both normal and abnormal conditions. The model is based on the identification of the traffic patterns shown under both normal and abnormal conditions using the density-based clusterin...
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