Implementation of a Filter Algorithm for Processing Decentralized Car2X Data on a Backend

With the development of urban traffic and increasingly complex road conditions have raised more and more concerns about safe driving. To meet the growing demand for safe driving, some new approaches are needed to monitor the road conditions. The establishment of a modern intelligent transportation system can effectively solve these problems. Combining the survey data intelligent traffic system can simulate the traffic information. In the real world, there are many measurement errors in the collection of raw data, thus the reliability of the collected raw data is questioned. This paper provides an efficient and trusted filter algorithm to processing decentralized Car2X data on the backend. This algorithm consists of data reorganization, data preprocessing, data filtering, and data analyzing.