Intelligent traffic management system based on Hadoop technology

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...

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 a large amount of traffic data, and traditional dispatching usually adopts static manual dispatching, the survey and collection cycle is too long, and real-time factors such as road conditions, weather, and station passengers cannot be considered, often resulting in a backlog of passengers at stations Or the vehicle full load rate is too low, etc.

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