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This paper focuses on the development and novel application of data mining techniques for convoy analysis of vehicles based on the automatic number plate recognition (ANPR) system. The amount of ANPR data captured daily by traffic cameras in the road networks is very substantial. Data mining techniques are commonly used to extract relevant information and to reduce the amount of data processing and storage. In this paper, we apply data clustering techniques to extract relevant traffic patterns from the ANPR data to detect and identify unusual patterns and irregular behaviour of multi-vehicle convoy activities.