Hadoop-based massive traffic data processing method

A traffic data and processing method technology, applied in the direction of road vehicle traffic control system, traffic flow detection, traffic control system, etc., can solve the problems of redundant data and slow processing, and achieves overcoming complexity, rapid data processing, and easy deployment. Effect
CN106530688AActive Publication Date: 2017-03-22ZHEJIANG UNIV OF TECH +1
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG UNIV OF TECH
Publication Date
2017-03-22

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Abstract

Provided is a Hadoop-based massive traffic data processing method, which comprises the following steps: 1) distributed road matching, which specifically comprises establishment of a MapReduce framework, trajectory analysis and establishment and expansion of a road network; 2) calculation of road flow and vehicle speed; and 3) road diversion statistics.
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Description

technical field

[0001] The invention relates to a method for processing massive traffic data. Background technique

[0002] In today's big data era, due to the variety of GPS acquisition devices and the diversification of acquisition methods, the traffic data is becoming increasingly large. Traditional methods can no longer satisfy the data analysis. In order to obtain the value contained in the data, various data analysis and mining methods Came into being.

[0003] It is difficult to directly extract valuable information from massive data. It has always been the goal of urban intelligent transportation planning to accurately and timely analyze the traffic status and provide high-quality traffic guidance services for travelers. The processing is concentrated on the parallel distributed computing platform, and the traffic data is stream-processed using Hadoop's MapReduce distributed computing framework, and the distributed platform ensures its timeliness and high fault tole...

Claims

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