駕駛人的操控行為長久以來被視為一個最佳控制與預視的組合，基於此概念，本論文藉由模型預估控制法分別建立過彎與雙重車道變換的駕駛人模型，利用CarSim模擬器蒐集實驗數據，比對駕駛人模型與實驗的相似程度。本研究結果顯示，在彎道情況下，駕駛人模型能符合駕駛人操控行為；而在較急迫的雙重車道變換中，駕駛人模型能有效捕捉駕駛人考量車輛失控之可能性，因而限制其方向盤轉角的現象。

The human driver behavior has long been modeled as a combination of optimization and preview.The driver model is constructed using the model predictive control framework. The model simulation results using the proposed driver models are compared with experimental data with human drivers collected from a physical vehicle and a PC-based driving simulator to verify the model. It is observed from the comparisons that the model predictive control based driver models capture the critical nature of human behavior very well. The constrained optimization function shows promising comparisons between the model simulation results and the recorded human behavior data.

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