Researching on forecasting the freight traffic volume of pork new container logistics park

Abstract

Freight traffic flow caused by container logistics park has played an increasingly important role in urban traffic, aiming to the fact that there isn't any historical data for freight traffic flow forecasting to reference at the planning step of the new container logistics park, the paper analyses the key factors influencing the port container freight traffic flow, establishes grey relevance neural network model for forecasting the freight traffic volume caused by new port container logistics park. Based on the above research, the paper analyses the example of the new port container logistics park in Lianyungang. The correlative research of the paper can be used in other type new logistics park of freight traffic flow forecasting.