To　evaluate　the　sustainability　of　an　enormous　number　of　urban　intersections,　a　novel　assessment　model　is　proposed,　along　with　an　indicator　system　and　corresponding　methods　to　determine　the　indicators.　Considering　mainly　the　demands　and　feelings　of　the　urban　residents,　the　three　aspects　of　safety,　functionality,　and　image　perception　are　taken　into　account　in　the　indicator　system.　Based　on　technologies　such　as　street　view　picture　crawling,　image　segmentation,　and　edge　detection,　GIS　spatial　data　analysis,　a　rapid　automated　assessment　method,　and　a　corresponding　multi-source　database　are　built　up　to　determine　the　indicators.　The　improved　information　entropy　method　is　applied　to　obtain　the　entropy　weights　of　each　indicator.　A　case　study　shows　the　efficiency　and　applicability　of　the　proposed　assessment　model,　indicator　system　and　algorithm.