In　order　to　reduce　road　traffic　accidents　due　to　proneness　characteristic　of　driver　easily　involved　in　traffic　accident,　drivers　involved　in　traffic　accident　at　one　typical　section　of　109　national　highway　were　analyzed　to　get　the　statistical　characteristics　of　these　drivers　by　analyzing　their　ages,　driving　experience　and　gender.　Regarded　accident　frequency　and　severe　degree　as　evaluated　indexes,　the　accident　proneness　of　driver　was　divided　into　4　grades:　low,　middle,　relative　high　and　high.　Accident　pronenesses　of　drivers　were　analyzed　by　the　grey　clustering　method.　The　result　shows　that　drivers＇　accident　pronenesses　display　cubic　curve　along　with　the　age:　accident　proneness　of　male　is　higher　than　that　of　female;　drivers　with　driving　experience　which　are　less　than　3　years　take　high　accident　proneness;　the　male　drivers　with　driving　experience　which　are　less　than　3　years　and　are　younger　than　33　years　old　take　the　highest　accident　proneness.