Parameter　calibration　of　micro　traffic　simulation　model　is　the　precondition　of　the　application　of　micro　traffic　simulation　technology.　Based　on　the　parameter　calibration　of　existing　simulation　models,　refining　the　parameter　classification　of　micro-simulation　model,　a　new　calibration　method　of　micro　simulation　model　parameters　is　proposed,　which　combines　engineering　measurement　with　intelligent　optimization.　The　actual　operational　signal　intersection　is　selected,　relying　on　VISSIM　simulation　experiment　platform.　A　genetic　algorithm　is　applied　to　model　parameter　calibration　and　experimental　comparative　analysis　of　the　existing　method　and　the　proposed　method.　The　experiment　results　show　that　compared　with　the　real　traffic　data,　the　proposed　method　and　the　existing　methods　can　achieve　a　lower　error　level　in　the　output　of　the　model,　but　the　proposed　method　has　obvious　explanatory　power　in　the　actual　physical　meaning　of　the　parameters.　The　vehicle　running　characteristics　in　the　simulation　scenario　are　more　in　line　with　the　actual　condition.　©　ASCE.