Considering　the　shortcomings　of　urban　traffic　status　analysis　method　based　on　road　segments,　this　paper　proposes　a　fine　division　and　identification　method　of　urban　traffic　status　by　using　bus　and　taxi　trajectory　data,　realizing　the　urban　traffic　status　analysis.　Firstly,　the　velocity　and　spatial　position　values　of　trajectory　points　are　normalized　separately,　which　are　used　as　attribute　data,　trajectory　points　are　clustered　by　iteratively　calculating　contour　coefficients　to　determine　[k]　values,　and　the　clusters　are　split　and　merged　to　divide　road　traffic　status　according　to　the　proposed　cluster　quadratic　processing　method.　Next,　a　multi-source　data　fusion　method　is　established　at　the　feature　level　to　calculate　the　traffic　status　speed　value.　Finally,　the　sample　is　divided　into　four　categories　corresponding　to　four　urban　traffic　flow　status　levels　by　clustering　with　attribute　data　of　the　normalized　velocity　value.　The　experimental　results　show　that　the　proposed　method　can　realize　the　fine　division　of　road　traffic　status　and　effectively　identify　the　traffic　status　of　different　locations　of　a　road,　which　can　provide　decision　support　for　urban　road　traffic　management.　Copyright　©　2020　by　Science　Press.