Construction of Intelligent Transportation Information Management System Based on Artificial Intelligence Technology

Through the construction of intelligent traffic information management system, the informatization level and decision support ability of urban traffic management and service can be improved, which is an effective way to solve traffic congestion, reduce traffic accidents and improve people’s quality of life. Different from the traditional information application system, AI (artificial intelligence) technology is mainly realized by computers. This paper designs an intelligent transportation information management system based on AI technology, which is divided into three parts: data source, data management and interface management. The combined model of traffic volume prediction based on AI technology is used to jointly predict the traffic volume of urban roads. The graph data is topological structure data constructed according to the direction of traffic flow at the corresponding road intersection. The research results show that when the traffic flow reaches 20 units, the delay time of vehicles can be reduced by more than 50%, which shows the good control effect of the traffic flow prediction model in this paper. The intelligent traffic information management system based on AI technology designed in this paper realizes multi-angle monitoring of road network traffic state and equipment working state, and the management system can be applied to practical engineering projects.