In　both　at-grade　intersections　of　highway　and　the　area　nearby,　mixed　traffic　condition　leads　to　severe　traffic　conflict,　and　causes　traffic　accident　frequently　happening.　There　are　many　factors　with　complicated　inter-relationships　that　affect　at-grade　intersection＇s　safety,　and　many　uncertainties　exist　between　traffic　safety　countermeasures　and　their　expected　effectiveness.　In　the　process　of　developing　and　implementing　countermeasures　of　highway　traffic　accident　prevention,　it　is　an　essential　task　of　current　traffic　safety　management　both　to　deal　with　the　above-mentioned　uncertainties　effectively　and　to　make　scientific　evaluation　and　selection　of　the　countermeasures　with　an　aim　of　allocating　social　resource　reasonably.　Upon　a　systematic　analysis　of　both　the　characteristics　of　the　traffic　accidents　and　highway　safety　countermeasures　in　at-grade　intersection,　this　paper　proposes　the　at-grade　intersection　safety　countermeasure　system.　With　CRF　(Crash　Reduction　Factor)　borrowed　from　USA　applied,　the　effectiveness　analysis　of　highway　safety　countermeasures　in　at-grade　intersection　is　implemented.　Based　on　the　above,　and　with　help　of　Inductive　Learning　Approach,　the　intellectualized　evaluation　model　(IEM)　for　highway　safety　countermeasure　of　at-grade　intersection　is　established.