Before revision:  The results show that this method can successfully identify the key driving primitives, patterns, and parameters of the vehicle speed and acceleration, and couple the driving primitives from the evaluated vehicle with typical driving primitives from the large real-world driving dataset , which could enhance the evaluation method and standard of fuel economy and emission for CAV .
After revision:  The results show that this method can successfully identify the key driving primitives, patterns, and parameters of the vehicle speed and acceleration, and couple the driving primitives from the evaluated vehicle with typical driving primitives from the large real-world driving dataset coincide with each other very well. This new method could enhance the evaluation method and standard of fuel economy and emission for CAV .