In recent years, with the rapid development of China's road construction and the continuous improvement of people's living standards, the number of urban motor vehicles has continued to grow year after year. Motor vehicles have become one of the main means of transportation for urban residents. At the same time, due to the increasing amount of traffic information data, a single server platform can not meet the reception and storage of massive traffic data, nor can it meet the needs of rapid query of massive traffic data. Therefore, this paper will use the distributed system to process data to solve the above problems, so as to ensure the real-time transmission and storage of massive traffic data. This paper discusses and analyzes the characteristics of distributed intelligent transportation system and the design of communication system data management and processing platform. Through the behavior decision algorithm of distributed transportation system, the flow data of distributed intelligent transportation system are tested and analyzed. The experimental results show that in the time period from 6:00 to 8:00, from 12:00 to 14:00 and from 16:00 to 18:00 when the traffic data reaches the peak, the amount of data processed by each communication server is very different, and the difference data amount can reach 60000 traffic data. The statistical results of this traffic data amount can show that the ratio of the data amount sent by each front-end bayonet every moment is not equal to the ratio of the data amount of each front-end bayonet every day, which is enough to show that the data management and processing capacity and efficiency of the distributed intelligent transportation system have been greatly improved.

Xiaobing Peng. Distributed Intelligent Transportation System Data Management and Processing Platform. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 4: 83-88. https://doi.org/10.25236/IJFET.2022.040411.

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