Abstract
Popularization of electric vehicles (EVs) is a promising approach towards realizing environmentally friendly transportation. While government has implemented advantageous policy efforts to boost EVs, how to effectively build electric charging stations becomes a key link. A reasonable distribution should not only conform to user habits and potential behaviour patterns, but also satisfying the charging reliability. In this paper, vehicle track data and POI data are used to cluster with road network information. A clustering algorithm based on R serving radius is proposed to improve the results and make them accommodate the rationality of the real world. Finally, suggestions are made for each charging station power supply scale according to regional difference. Experiments show that the proposed model has practical guiding significance.
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