摘要：AbstractNEDC is widely used in China, however, it is not really appropriate for the current Chinese road conditions. In order to construct the driving cycle of Hefei, this paper take the urban roads in Hefei as the research object, using principal component analysis (PCA) to reduce the dimensionality of the kinematic parameters and k-means clustering method to classify kinematics segments. According to the length of time and the correlation of each class, some kinematic segments were selected to form the synthetic driving cycle. Through the error analysis, it can be seen that the synthetic driving cycle represents the real-world driving well, which establishes a solid foundation for accurate performance evaluation of passenger vehicles in Hefei.
