Research on Freeway Passenger Flow Prediction Based on Neural Network

The growth of social activities scale, the increase of population flow and flow velocity, and the continuous development of car industry have brought more and more heavy load to the highway intercity transportation and its management system. Against this backdrop, how to greatly improve the utilization rate of traffic infrastructure and transportation equipment by analyzing and forecasting the traffic of the highway has become an important research topic. Based on the existing forecasting model and aiming at the the non-linearity, complexity and uncertainty of transportation itself, this paper uses BP neural network predication model to predict the Shenzhen Jihe highway passenger flow. MATLAB is used to predict the simulation and interface the highway traffic system.