To　achieve　high　fidelity　and　credibility　for　a　traffic　simulation　model,　model　calibration　and　validation　are　of　utmost　importance.　The　parameters　calibration　of　microscopic　traffic　simulation　models　is　a　complex　and　systematic　process.　It　is　time-consuming　and　difficult　to　find　the　optimal　values　of　the　calibration　parameters.　A　systematic　calibration　procedure　based　on　orthogonal　experiment　is　proposed.　Six　driving　behavior　parameters　critical　to　the　model　accuracy　are　calibrated　in　the　proposed　procedure.　Then,　an　example　of　the　procedure　application　on　a　complex　signalized　intersection　in　Beijing　is　given.　The　average　errors　of　queue　length　and　traffic　flow　volume　are　used　as　the　performance　indexes　in　the　example.　Each　scenario　from　the　experimental　design　is　run　10　times　and　the　simulation　result　is　recorded　for　each　of　the　runs.　The　performance　indexes　based　on　simulation　data　are　calculated　to　compare　survey　data.　The　results　show　the　applicability　and　effectiveness　of　using　the　proposed　procedure　based　on　orthogonal　experiment　to　calibrate　the　parameters　in　VISSIM.