Application Research of Road Passenger Transport Volume Forecasting Using Regression Methods

Passenger Transport Volume forecasting is a hot topic in the field of transportation and is meaningful to improve the traffic situation, can also help common people on installment plan. Different linear regression models, including one variable linear regression and multivariate linear regression, and nonlinear regression models, including power function and exponential function, were introduced and their testing methods were given in this paper. Then all of those models were applied to predict road passenger transport volume and passenger person-kilometers of Yunnan Province. According to results of those regression models, average relative error method was used to compare different regression models, and then we know their precisions are different, all of them satisfy the demand of forecasting and achieve the aim of forecasting.