Highway passenger traffic volume correlation analysis based on gray relational grade

Grey relational analysis is based on similar degree of the the time series curve to determine the correlation between factors.In this paper, we use the gray relational analysis method to study the city´s GDP, the average consumption level, the city population, passenger vehicle amount of these related factors affecting the road passenger traffic, and linear regression analysis in SPSS verifies the results. Examples show that grey relational analysis method is reliable and accurate for analysis of the road passenger traffic and has better usability.