To forecast the passenger transport industry, forecast models of passenger turnover quantity of railway, highway and civil aviation in China are established respectively based on GM(1,1) forecast model according to the data from 2001～2005.

Based on the gray model GM(1,1),the road passenger transport quantity and the passenger turnover quantity are predicted,so the complicated correlativity is abstained,the problem caused by the discreteness of original data is solved,and the results of the high-precision prediction are achieved.

Prediction of Passenger Traffic Volume Based on Grnn and Grey Theory;

Forecasting passenger traffic volume is very important for making correct development plan of railway passenger transportation.

With the rail transit network taking shape gradually,the transfer convenience between rail transit and other transport tools becomes the key element affecting rail transit passenger traffic volume.

Two of the factors which influence the passenger transport volume should be analysed and taken into special consideration.

By means of many kinds of mathematical model,this paper analyses the time-order data of Chinese highway passenger volume from 1987 to 1996,and optimizes the forecasting results with MAPE,then sets off middle period forecast of highway passenger transport volume with the given optimum model.