This article discusses the influence factors of the tourism traffic volume prediction,analyzes the existing traffic volume prediction methods and ideas at home and abroad and comprehensive review of the various methods,and carries out a forecast on freeway tourism traffic volume by the example.

According to the dispersion of the traffic development around the world,this paper introduced a new Traffic Prediction Vector Space Theory through the studying of various traffic prediction models.

However,traditional traffic volume forecasting of highway always focuses on the characteristics of highway transportation system itself,and neglects the relationship between highway and other transportation modes.

Traditional traffic volume forecasting method of highway construction project always focuses on the characteristics of highway transportation system itself,and neglects the relationship between highway and other transportation modes.

The key issue for using the elastic method in the traffic volume forecasting is the determination elasticity coefficient.

Application of grey-markov model in traffic volume prediction;

By improving and systematizing the passage traffic volume prediction method,the components of the perspective traffic volume is proposed from the view of overall prediction ideas.

The traffic volume prediction is one of the important compositions of feasibility research and post-valued of highway construction projects.

Application of the manual BP neural network in the traffic forecast;

It is very important of share ratio of freeway and other parallel highway in the same transportation corridor for the traffic forecast.

This paper first analyzes the character and parameter demarcating of Logistic Curve and Picketage Model s S Curve, then puts forward a traffic forecasting method based on this two curve models.