The simulation of the algorithm took the road freight turnover as an example,used BP algorithm and the extended Kalman filter algorithm respectively to train the artificial neural network and forecast the road freight turnov.

Empirical Study on the Choose of Forecast Model for Railway Freight Turnover;

In the paper,aiming at shortcoming of tradition Gray prediction model,the fluctuation polynomial was utilized to displace the exponent curve in the model of GM(1,1),and the prediction results were adjusted by Markov chain,then the prediction model based on improved Gray-Markov chain was established,and the highway freight volumes were predicted by the model.

The combination forecasting model can serve as the newest idea for predicting the highway freight volume of Zhejiang province.

The algorithm of segmenting the highway freight market was put forward with analytical hierarchy process and gray relative analysis,and its rationality was confirmed by a case.

This paper describes the concept and phenomenon of over loading of highway freight and the related rules on how to deal with overloading freight in highway code.

The highway freight sample and investigation data acquisition system can use science technology to realize data auto sample and transform,it also can avoid man factor.