Aiming　at　solving　the　problem　that　it　is　difficult　for　users　to　resist　location　semantic　inference　attacks　when　they　consume　location-based　services　(LBS)　in　a　road　network　environment,　a　location　privacy　protection　method　based　on　the　semantic　similarity　of　road　under　user　collaboration　is　proposed:　For　LBS　consumption,　in　the　roads　provided　by　collaborative　users,　we　use　the　semantic　similarity　between　each　road　and　the　road　where　the　requesting　user　is　located　to　determine　the　most　suitable　road,　build　an　anonymous　road　set,　and　pass　the　agent.　The　method　is　theoretically　analysed,　and　experiments　are　carried　out　on　the　anonymous　success　rate　and　anonymous　time　based　on　the　Brinkhoff　road　network　data　generator.　Experimental　results　show　that　this　method　has　better　privacy　protection　and　higher　service　quality.　©　The　Authors.