Research and Design of Traffic Information Processing Based on Hadoop Big Data Architecture

As the information resources in the field of transportation become more and more huge, the traditional processing methods can hardly support the needs of real-time computing, low-latency query and statistical analysis of massive data. In the paper, a design method of intelligent traffic information processing based on Hadoop big data architecture is proposed. By analyzing the application requirements and the current situation in the field of intelligent transportation, the paper investigates the computation mode combined with big data processing technology to collect, process, analyze and utilize multi-user requirements and large-scale and massive traffic data, and realize the sharing and common use of big data, as well as efficient and convenient storage methods and accurate computation methods. In order to provide personalized services to people in a dynamic, timely and accurate manner. The final construction of traffic management, travel reference, monitoring and criminal investigation and other comprehensive, multi-faceted intelligent traffic information processing system.