Design of Intelligent Traffic Visualization Platform Based on Big Data Architecture

Abstract

With the acceleration of the urbanization process, the urban traffic problems are becoming increasingly prominent. In order to solve the urban traffic problems and realize the sustainable development of urban traffic, this paper designs an intelligent traffic visualization platform based on big data architecture. Platform demand analysis: in view of the existing intelligent traffic data display platform data storage cost, information display form single and poor user experience, this paper designed an intelligent traffic visualization platform, the platform can realize the rapid processing of real-time traffic data and efficient storage, combined with data analysis and visualization technology, to provide users with more intuitive, accurate and real-time traffic data analysis and decision support. Platform architecture design: According to the results of system requirements analysis, this paper designs an intelligent traffic visualization platform architecture based on distributed architecture, which consists of data management module, analysis and computing module and display module. In the data management module, the collection, cleaning and storage of real-time traffic data can realize the efficient storage of large amounts of real-time traffic data; in the analysis and calculation module, the visual processing and analysis of real-time traffic data can realize the understanding and mastery of urban traffic management and decision-making. In the function realization, the platform adopts a variety of advanced technology means to develop and realize. Firstly, the application of distributed architecture adopts the distributed database design architecture based on Spark, the data mining method based on massive real-time traffic data, and the analysis and calculation method based on big data technology. The experimental results show that the intelligent traffic visualization platform designed in this paper can provide more intuitive, accurate and real-time data support for urban traffic management and decision-making.