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The aim of this study was to determine the travel pattern along the inbound route 3 of the Tokyo Metropolitan Expressway with the purpose of applying the result to classify historical travel time database used for travel time prediction. A data mining cluster algorithm SLR was used for the cluster analysis. This analysis found that AM period could be classified into weekday, Saturday and holiday (including Sunday). The clustering result suggests that the PM period does not have any strong groups.