Research On Urban Traffic Flow Forecast And Control Strategies

Along with the continuous advance of socialist construction in China,the social and urban economic construction has also developed rapidly.Various means of transportation have been better spread and applied,and the number of urban taxi and private cars has grown rapidly.There have been more and more problems in the process of traffic development,such as traffic congestion,air pollution,and traffic accidents.Intelligent transportation systems(ITS)have developed rapidly in response to these challenges.Through the development of recent years,ITS has shown great potential in reducing traffic congestion and improving people's travel.Traffic prediction plays an important role in the management and control of intelligent transportation system.The improved accuracy of traffic prediction model can help the system to better analyze the traffic situation and put forward practical control strategies.Therefore,to improve the ability of real-time traffic prediction is the driving force for the development of intelligent traffic system.This paper mainly introduces the basic prediction model of multiple neural networks by studying the traffic prediction model established by scholars in different fields and proposes an improved prediction model combining neural network and intelligent population algorithms.Through sampling and investigating the road planning of the existing traffic network and the traffic flow growth of each section of the road in our city,the real traffic flow data of the road in Taiyuan city are obtained and the actual traffic situation of the corresponding detection point is analyzed.The experiment selects the traffic situation of the representative section as the forecast basis,combines the theories of each prediction model to predict the basic model and the two improved models by two groups of experiments.When the forecast is the primary goal,compare the predicted results and summarize the relevant conclusions,Through analysis and comparison,a regional traffic flow forecasting model conforming to the status in Taiyuan city of Shanxi province.Finally,using MATLAB R201 asimulation tool to design the interface of intelligent traffic system management system,and putting forward better suggestions to our city's traffic management work.to Shanxi province Taiyuan rapid highway trunk line and urban highway network traffic volume forecast.Forecasting traffic flow of highway trunk line and urban trunk road network in Taiyuan City,Shanxi Province.