Design Of Intelligent Traffic Management System For Urban Road

With the rapid development of urbanization in China,the number of vehicles on urban roads is increasing year by year,which leads to serious congestion on main roads and brings great inconvenience to people’s travel.However,the traditional way of road guidance and simple signal control can not meet the needs of complex road traffic management.Therefore,in order to realize the modern management of urban road traffic,this paper designs the urban road intelligent traffic management system,which monitors the traffic status,traffic information and equipment status to uniformly manage urban road traffic,so as to alleviate the traffic congestion problem.In order to monitor the road network and predict the traffic state,this paper proposes the TGG traffic flow prediction model to predict the traffic flow.The model combines the graph convolution network and the gating cycle unit,which has a strong pertinence to the data with spatial-temporal relationship.Firstly,the prediction model is built,and then the prediction algorithm is designed according to the prediction process of the model.In order to improve the accuracy and calculation speed of the prediction results,graphsage algorithm and graph attention mechanism are added to optimize the graph convolution network.The experimental results show that the optimized graph convolution network has higher accuracy and faster convergence speed than before.Finally,the performance of the model is compared with GCN+LSTM,GCN(after optimization),GRU and LSTM.The results show that the model has the highest prediction accuracy,the fastest prediction speed and the best prediction performance.Then the threshold conversion method is designed to convert the predicted traffic flow into the predicted state,and the road condition is predicted by the electronic map drawing method.In the design process of urban road intelligent traffic management system,the management system is divided into traffic status management module,traffic information management module,equipment status management module and database management module,and then the interface layout of each management module is designed through graphical user interface design method.In the traffic state management module,the function of electronic map is designed through the method of electronic map prediction and road drawing,and the road network is monitored in real time through video frame processing technology.In the traffic information management module,through the form component technology,the query of traffic information is realized.In the equipment status management module,signal lamp monitoring method and signal lamp synchronous timing technology are used to monitor the working status of road network equipment.In the database management module,the data table is designed according to the association between data,and the user-defined functions are used to realize the operations of adding,deleting,modifying and querying the database,so as to simplify the interaction between the user and the database.In this paper,we use pycharm development environment,pyqt5 and QT designer design tools to design and test the functions of the management system.The test results show that all the functions of the management system achieve the expected effect.In order to verify the cross platform of the system,the software is transplanted from windows operating system to Linux operating system and tested.The test results show that the management system is cross platform and can be used across platforms.