The existing grey relational analysis examines the geometric similarity or proximity of data directly or after dimensionless without considering other kinds of law. Therefore, the grey generation rate relational analysis model based on the grey exponential law is proposed. Firstly, the original data is accumulated, and the generation rate is established. The dynamic change trend similarity of the original time series is characterized by the proximity of generation rate sequence. Then, qualities of the grey generation rate relational analysis model are researched. Finally, factors which affect traffic congestion degree in China are researched by using the proposed grey generation rate relational analysis model. This application is presented to illustrate the effectiveness and practicality of the proposed model.