Driver＇s　factors　are　very　important　for　the　traffic　safety.　Questionnaire　and　BP　neural　network　are　used,　the　neural　network　structure　with　different　hidden　layer,　neuron　number　and　transfer　function　is　established　considering　many　parameters,　such　as　age,　gender,　accumulative　driving　time,　physiological　conditions,　etc.　The　optimal　neural　network　structure　is　obtained　to　predict　the　traffic　accident　rate.　The　results　show　that　the　neural　network　is　available　for　the　prediction　of　accident　rate　and　the　driver　subgroups　with　accident　proneness　are　identified.