At　present,　the　commonly　used　maps,　such　as　Google　Map　and　Baidu　Map,　have　basically　matured　for　the　visualization　of　urban　roads.　However,　for　the　complex　environment,　due　to　the　limitation　of　Google＇s　scale　and　the　complexity　of　its　roads,　it　can　only　show　its　geographical　location,　but　it　cannot　show　the　details　of　its　internal　roads　and　landmarks.　This　is　not　conducive　to　the　people＇s　travel　here　and　emergency　rescue　operations　when　accidents　occur.　Faced　with　this　limitation,　this　paper　expounds　the　related　concepts　and　algorithms　of　the　shortest　path.　Aiming　at　the　problem　of　rescue　in　the　face　of　accidents,　this　paper　proposes　a　method　of　shortest　path　selection　based　on　GIS,　which　is　verified　by　simple　experiments.　The　effectiveness　of　the　law,　in　the　face　of　accidents　(such　as　forest　fires),　can　provide　basic　support　for　emergency　rescue　to　a　certain　extent.　©　2019　IEEE.