Error checkpoint positional information automatic identification method based on big data analysis

Abstract

The invention discloses an error checkpoint positional information automatic identification method based on big data analysis. The method comprises the steps of: calculating adjacent checkpoint pairs according to mass historical checkpoint vehicle passing data, calculating the shortest path length of the adjacent checkpoint pairs by combining with GIS map data, and calculating passing speed of vehicles between the checkpoint pairs through vehicle data; and finding out the checkpoint with error positional information according to checkpoint shortest path abnormity, checkpoint interval velocity abnormity and abnormal frequency iteration in sequence. The error checkpoint positional information automatic identification method utilizes real checkpoint vehicle passing data, and has the advantages of large data size, high data accuracy and the like, thus the accuracy of error checkpoint positional information analyzed according to attributes of vehicle passing data is high. The error checkpoint positional information automatic identification method achieves the automatic identification of the error checkpoint positional information, has the advantages of fast execution speed, high accuracy, high efficiency and the like, and omits a great deal of manual identification.

Description

Technical field [0001] The invention belongs to the technical field of data mining, and specifically relates to an automatic identification method of error bayonet position information based on big data analysis. Background technique [0002] With economic and social development, especially after China’s 18th National Congress, the process of urbanization has accelerated, the scale of cities has continued to expand, the urban population has continued to increase, and the number of urban vehicles has grown rapidly, especially in large cities and megacities. Reach the peak. Due to the limited basic capacity of urban roads, the traffic load is constantly increasing, traffic jams can be seen everywhere, and traffic problems have become a common livelihood problem. [0003] With the introduction of "Internet +", smart transportation has also been pushed to a new climax. As one of the important components of traffic data, bayonet data has been widely used in real-time road speed calcul...

AI Technical Summary

Problems solved by technology

When conducting experimental research on the existing bayonet data, it can be found that the location information of the bayonet is a very critical basic data. Once the location information is wrong, data mining and big data analysis based on the bayonet passing information will cause serious misleading This will seriously affect the correctness and reliability of data analysis, and cause the ana

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