Before revision:  The quantitative results also reveal that the  personalized modeling method significantly outperforms the general modeling approach, reducing the  errors in human likeness by 24 \%, and the proposed reward-function-based method delivers better results compared to other baseline methods . Moreover, it is found that estimating the response actions of surrounding vehicles plays an integral role in estimating the trajectory accurately and achieving a better generalization ability .
After revision:  The quantitative results also reveal that the personalized modeling method significantly outperforms the general modeling approach, reducing the errors in human likeness by 24 \%, and the proposed reward-function-based method delivers better results compared to other baseline methods .