Before revision:  In this paper, we proposed a new method  to evaluate the fuel economy and emission level of the vehicle based on the unsupervised learning of the real-world driving data of the evaluated vehicle and typical driving primitive analysis of the naturalistic driving dataset of a large number of different vehicles .
After revision:  In this paper, we proposed a new method to evaluate the fuel economy and emission level of the vehicle based on the unsupervised learning of the real-world driving data of the evaluated vehicle and typical driving primitive analysis of the naturalistic driving dataset are used to perform the driving primitive analysis and coupling. Then the linear weighted estimation method could be used to calculate the testing result of the evaluated vehicle .