Analysis and Design of Urban Traffic Congestion in Urban Intelligent Transportation System Based on Big Data and Internet of Things

With the rapid development of big cities, the pressure of traffic congestion is increasing, and intelligent transportation is the fundamental way to solve traffic problems. Intelligent transportation system is a transportation management system that effectively integrates information technology, data communication technology, sensor technology, control technology and data processing technology. Large-scale traffic data management, integration and mining are key technologies. This paper briefly introduces the current situation of intelligent transportation in various countries, analyses the causes of urban traffic congestion in detail, and discusses the concept, composition and relationship between various subsystems of urban intelligent transportation system. Using the Internet of Things technology to collect traffic big data, based on the Big Data analysis technology to construct a traffic prediction model for traffic situation prediction, combined with real-time monitoring and analysis, the combination of remote traffic indicator control and optimization strategy control for traffic collaborative management. The causes of traffic congestion are analyzed in detail, specific solutions are proposed, and suggestions for transportation infrastructure planning are proposed.