Intersections　are　crucial　and　high-risk　areas　in　urban　road　networks　due　to　dense　traffic　and　complex　scenarios.　Deploying　Roadside　Units　(RSUs)　can　enhance　safety　and　efficiency　by　providing　real-time　traffic　information.　However,　the　impact　of　traffic　accident　risks　on　RSU　deployment　is　largely　ignored.　This　study　introduces　an　innovative　RSU　deployment　strategy　that　prioritizes　the　risk　of　traffic　accidents　at　intersections.　The　approach　begins　with　analyzing　environmental　conditions,　traffic　patterns,　and　historical　accident　data　at　target　intersections　to　identify　key　risk　dimensions:　road,　accident,　and　environmental.　The　Analytic　Hierarchy　Process　(AHP)　and　Entropy　Weight　Method　(EWM)　are　used　to　weigh　the　indicators　to　evaluate　their　importance　in　accident　risk　assessment.　Then,　construct　an　objective　function　based　on　the　accident　risk　value　of　the　intersection.　To　overcome　the　redundancy　problem　in　risk　assessment,　this　study　proposes　an　improved　0-1　knapsack　algorithm　that　considers　the　redundancy　of　intersection　accident　risk　to　determine　the　optimal　deployment　location　of　RSUs.　Simulations　with　SUMO,　TraCI,　Veins,　and　OMNeT++　demonstrate　the　algorithm＇s　superiority　over　traditional　methods　in　all　metrics.　The　results　show　that　the　vehicle　coverage　of　this　strategy　is　on　average　2.63%　and　2.86%　higher　than　that　of　the　IIA-ORD　and　UDA　algorithms,　respectively.　It　also　leads　by　about　5.04%　in　traffic　accident　coverage　and　5.72%　in　accident　risk　coverage.　This　intersection-focused　RSU　deployment　method　ensures　timely　information　dissemination　after　incidents,　providing　valuable　insights　and　practical　guidelines　for　improving　urban　intersection　safety　and　efficiency.