Big data analysis method based on traffic data

Abstract

The invention discloses a big data analysis method based on traffic data. The method comprises steps of collecting corresponding traffic operation state data by means of the vehicle type; organizing the collected traffic operation state data by using a relational database SQLServer and a distributed document storage database Hadoop; performing data pre-processing the organized traffic operation state data; performing data mining operation on the pre-processed traffic operation state data through relevant mining algorithms and constraints; evaluating results of the data mining operation to determine whether a data mining result is qualified, if it is qualified, converting data coordinates passing through evaluation into Baidu map coordinates by Javascript-based data visualization chart libraries of Baidu map and Baidu Echarts, and performing display. The method realizes the integration of traffic big data information, shares resources, discovers abnormal trends in real time, regulates the business behavior and effective supervision of the transportation industry, and promotes the development of the information consumption industry.

Description

technical field [0001] The invention relates to the technical field of Internet big data, in particular to a big data analysis method based on traffic data. Background technique [0002] With the rapid development of modern information technology represented by the Internet, the ability of my country's transportation industry to obtain various transportation data has been greatly improved. Although there are massive amounts of data, abnormal trends in the industry cannot be discovered in a timely manner from these massive amounts of data, which leads to the inability of the management department to make accurate management actions in a timely manner and affects the development of the industry. The current "big data +" transportation development is not perfect enough, and it cannot fully meet the needs of economic and social development, mainly because there are some constraints and practical problems in the development process, the development quality and quality of "big dat...

AI Technical Summary

Problems solved by technology

[0008] 1) A large amount of traffic data is wasted, but the huge data cannot be captured, managed, processed, and sorted into information that can help enterprises make more positive business decisions within a reasonable time through the software system

[0009] 2) Big data does not work, the efficiency of data analysis processing and data mining is low, and there is no accurate visual analysis display

[0010] 3) Without real-time data, the traffic control can get real-time data in time, so that emergency command measures can be taken in time

[0011] 4) There are privacy and security issues

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