Easily　achieved　automatic　incident　detection　(AID)　algorithm　based　on　two-dimensional　integration　was　proposed　by　the　analysis　of　floating　car　data　(FCD)　and　traffic　event　data.　The　wide　coverage　of　FCD　was　applied　to　AID　of　urban　expressway　to　improve　the　performance　of　incident　detection.　The　algorithm　integrated　the　change　of　speed　by　the　standard　difference　in　the　temporal　dimension　and　the　difference　between　travel　speed　on　upstream　and　downstream　in　the　spatial　dimension　to　detect　incidents.　Then,　the　algorithm　was　verified　with　the　FCD　and　traffic　incident　data　collected　from　Beijing　expressway,　with　a　87　detector　rate　(DR)　and　a　1.86　false　alarm　rate　(FAR),　which　were　extremely　close　to　the　average　TMC　acceptable　limits　of　at　least　88　of　DR　and　not　more　than　1.8　of　FAR.　Therefore,　we　could　conclude　that　the　FCD　based　integrated　algorithm　could　meet　the　basic　needs　for　practical　applications.　©　2010　ASCE.