Traffic　management　is　important　for　sustainable　urban　development,　smart　cities,　traffic　navigation,　and　urban　planning.　With　the　development　of　modern　aerospace　technology,　remote　sensing　technology,　and　computer　technology,　the　use　of　computer　vision　to　extract　roads　from　satellite　remote　sensing　images　has　become　the　main　means　of　road　information　acquisition.　Nowadays,　satellite　road　extraction　is　widely　used　for　maps　and　smart　cities,　so　it　is　very　necessary　to　carry　out　accurate　road　extraction.　Satellite　images　often　contain　noise　and　multiple　objects,　which　can　affect　the　edges　of　the　extracted　roads.　This　paper　proposes　a　method　that　is　based　on　considering　the　geometric　characteristics　of　the　road.　It　uses　the　characteristics　of　small　changes　in　the　geometric　characteristics　of　the　road　and　obvious　edge　information　on　both　sides　of　the　road.　The　road　surface　graphics　with　regular　shape　characteristics　are　obtained　by　the　maximum　entropy　threshold　method,　dilation　processing,　skeleton　processing,　burring,　and　erosion.　Experimental　results　show　that　road　information　can　be　extracted　accurately　with　high　precision.　©　2023　IEEE.