Mining traffic flow data based on fuzzy clustering method

Effective mining technology can extract the spatial distribution pattern of the road network traffic flow. In this paper, the similarities between traffic flow objects with spatial temporal characteristics were measured by introducing the Dynamic Time Warping (DTW) and the shortest path analysis method. We proposed a kind of clustering analysis method for road network traffic flow data. So that traffic flow data objects with similar properties and space correlation are clustered into one class, which found that the spatial distribution pattern of road traffic flow. The experimental results show that the method was effective. The road network was classified reasonably, and classification results could provide traffic zone division with decision auxiliary support.