In　human-　vehicle　-　road-environment　system,　road　surface　condition　is　one　of　the　main　factors　affecting　vehicles　riding　comfort.　With　the　wide　application　of　ergonomics,　pavement　performance　evaluation　from　human　factor　has　been　a　new　research　trend　in　recent　years.　In　this　study,　by　the　aid　of　instruments　such　as　driving　simulation　module　and　electrodermal　tester,　a　simulation　study　about　asphalt　pavement　surface　condition　had　been　done　at　the　aim　of　finding　the　correlation　between　psychology-physiology　indicators　and　asphalt　pavement　surface　condition.　In　this　paper,　time　series　theory　was　used　to　analyze　EDA　data　and　the　results　showed　that　passenger＇s　EDA　data　had　no　clear　correlation　with　asphalt　pavement　surface　condition,　but　it　had　a　good　correlation　with　speed.　This　discovery　will　open　a　new　way　to　the　research　of　road　speed　limit.