Research On Analysising The Information Of Traffic Flow And The Algorithm Of The Dynamic Path Planning

It have greatly promoted the process of urbanization that The long-term rapid development of China’s economy and society,which has also caused the growing current traffic demand and serious traffic congestion problems.As a key point of the traffic road network,the intersection is a center where traffic flows from all directions come together and then seperate again.In order to solve the present-existing problems of traffic congestion,a excellent entry point is to make the planning of the mixed traffic reasonably and effectively on the intersection.In this topic,various algorithms for traffic flow prediction and their characteristics were got illustrated.It can be found that the immediacy of these prediction algorithms is not very good,which is unable to predict the traffic flow by these algorithms,especially for the short-term traffic flow.Therefore,a wavelet neural network prediction algorithm based on the combination of wavelet analysis and BP neural network algorithm was proposed,which was available to the prediction of short-term traffic flow.By comparison,it can be found that the wavelet neural network has higher prediction accuracy than the BP neural network,which can make the result of short-term traffic flow prediction timelier and more accurate.When the short-term traffic flow which is predicted by the wavelet neural network was obtained,the network model of the traffic road was built.After the dynamic traffic network model which is mainly including the road and the intersection was established,the planning for the best route of the vehicle was began through the acquired traffic flow information.In this paper,the principles and the characteristics of the route planning algorithms are introduced.By comparing and analyzing,ant colony algorithm is the most useful and reliable algorithm,which is selected to optimize the route planning of traffic network.At the same time,in order to improve the performance of route planning,random ants were introduced to optimize the Ant Colony Algorithm.By comparison,it can be found that the Ant Colony Algorithm based on the random ants has optimal characteristics and more favorable conavergence ability than the Ant Colony Algorithm,so it can get a better traffic route planning result.