Intelligent traffic management system based on Hadoop technology

A technology of intelligent traffic management and technology, applied in the field of big data mining, can solve the problems of backward processing technology, single communication transmission, long research and collection cycle, etc.

Inactive Publication Date: 2019-07-09
广州明领基因科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] At present, the problems existing in the intelligent public transportation management system are mainly manifested in inaccurate vehicle positioning, untimely data update, backward line scheduling technology, and poor real-time management. Communication transmission only uses GPRS positioning, which cannot realize real-time transmission of

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  • Intelligent traffic management system based on Hadoop technology
  • Intelligent traffic management system based on Hadoop technology
  • Intelligent traffic management system based on Hadoop technology

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Embodiment Construction

[0014] The present invention will be described in more detail and complete below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0015] refer to figure 1 , a kind of intelligent traffic management system based on Hadoop technology of the present invention, this system comprises: data collection module, data processing module and system function module; Wherein, described data collection module is mainly responsible for real-time monitoring, collection, update, Processing function; the data processing module will process the data provided by the data acquisition module on the basis of the Hadoop platform, using distributed file system, distributed computing, Hbase database and real-time stream processing technology; the system The functional module comprehensively applies the high-value informatio...

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Abstract

The invention discloses an intelligent traffic management system based on a Hadoop technology. The system comprises a data collection module, a data processing module and a system function module, wherein the data collection module is mainly responsible for performing real-time monitoring, collection, updating and processing on data; the data processing module processes the data provided by the data collection module by the adoption of a distributed file system, distributed calculation, an Hbase database and a real-time stream processing technology on the basis of a Hadoop platform; and the system function module comprehensively applies high-value information, extracted after the data processing module performs data analysis and mining, to terminal subsystems. According to the scheme, a big data platform is adopted to perform analytical processing on mass data, modern data collection, processing and transmission technologies are introduced, the collected mass traffic data is analyzed and mined, the high-value information is extracted, and informatization and intellectualization of public transportation system scheduling, operation and management are realized.

Description

technical field [0001] The invention belongs to the technical field of big data mining, and relates to an intelligent traffic management system based on Hadoop technology. Background technique [0002] With the rapid development of China's urbanization, the contradiction between road traffic construction and daily travel needs has become increasingly acute, and traffic congestion and environmental pollution have become problems that people have to face. [0003] In order to improve the travel experience of the public, giving priority to the development of urban public transport has become the country's primary development strategy. However, problems such as inaccurate arrival at stops and crowded rides in traditional public transport seriously restrict the development of the public transport system. [0004] At present, the problems existing in the intelligent public transportation management system are mainly manifested in inaccurate vehicle positioning, untimely data updat...

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0125G08G1/0137
Inventor 周峻松徐继峰祁建明陈墩金
Owner 广州明领基因科技有限公司
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