This paper systemically studies the method and model of trip distribution forecast firstly, by improving the Gravity-model, increases the precision of the trip distribution forecast.

Many existing models for traffic prediction are based on traffic flows.

The harmonious traffic forecast process for transportation demand and supply with road network ca pacity restriction is discussed from the viewpoint of transportation management technology.

For these characteristics different from the conventional traffic forecast, the article sets up the forecast model of the freight traffic in airport.

Transportation forecasting plays an important role in the decision-making of transportation managements,and that research on the principles of transportation forecasting is valuable to forecasting in practices.

Combined with traditional four step traffic forecasting,a new method- twe level traffic zone division is proposed.

Based upon the characteristics of traffic flow forecast and the principal component analysis (PCA), a new traffic flow forecasting model combined rough sets and orthogonal wavelet network together, called rough orthogonal wavelet network forecasting model, is put forward.