交通事故發生率的居高不下，其肇事因素以駕駛不當之人為因素為主要原因。雖然現今安全系統的發達與普及，但是對於許多不當的駕駛操控行為仍然無法有效的補救，因此一個能夠整合駕駛行為資訊的車輛安全系統有其發展的必要。為此必須要發展能夠掌握駕駛行為資訊的方法。在本研究中以駕駛模擬器與系統識別方法對駕駛進行線上的模型參數識別，並根據文獻中駕駛模型的頻率響應之性質來解析駕駛的行為。由實驗結果顯示所識別出來的駕駛模型的內含資訊對於駕駛行為有很高的代表性。最後將駕駛模型識別結果結合其他車輛運動之統計數據，發展出一套線上駕駛狀態的評估系統。最後使用一駕駛模擬器進行不同駕駛狀況之線上駕駛狀態的判別實驗，以驗證所發展之系統。結果顯示在所得到的數據中此一機制平均有超過百分之九十之正確率。

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