本研究利用智慧型手機來開發一個駕駛人操作模型，以手機內建的CMOS鏡頭，配合撰寫的影像處理偵測技術來偵測前方道路的道路標線位置，計算出消失點位置(vanishing point)結合預視點模型來找出駕駛操作轉向時之預視角度，其中預視點模型是以PI控制器來作為模型的架構，利用系統鑑別方法來找出模型內部參數，後續考量加入手機影像之橫向位移誤差，以遞迴最小平方法(RLS)來看其估測結果，並與系統鑑別結果進行比較與後續的分析，評估此法用於描述駕駛人操作行為之可行性。實驗方面，則於實車裝設方向盤角度測量儀器、車輛動態感測器(v-box)、以及六軸慣量測量設備( IMU)來測量車輛動態的相關數據，同時手機也以內建的感測器來蒐集數據，包含車速、加速度、偏航角速率等等，最終利用實驗所蒐集之各項車輛動態資訊，進行相互比對，進而驗證本研究之模型與手機感測器應用於車用之可行性。

In this research development a driver operate model at Handhold Devices. Detect the front road marking position using the image process technique. Calculate the Vanishing point position combined with Preview Point model to identify pre-degree angle of the driver's steering operation. The Preview Point model which is based on PI controller as an architectural model. Using system identification method to find model parameter. Subsequent consider add the image lateral Displacement Information and use recursive least square method to identification model parameter. And compare the results with the system identify method and to assess the feasibility of this method is used to describe the behavior of the driver operation. Experiment, in vehicle to installation of the steering wheel angle measuring instruments, vehicle dynamic sensor (V-BOX), and a six-axis inertia measurement equipment (IMU) to measure the vehicle dynamics data, at the same time, record the Handhold Devices internal Sensors data. Further validate of the driver model and Handhold Devices internal Sensors the feasibility applied to real driver lateral operator Behavior and vehicle dynamic measurement.

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