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Procedia Engineering
Article . 2016 . Peer-reviewed
License: CC BY NC ND
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Procedia Engineering
Article
License: CC BY NC ND
Data sources: UnpayWall
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Procedia Engineering
Article . 2016
License: CC BY NC ND
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Research on Visualization of Multi-Dimensional Real-Time Traffic Data Stream Based on Cloud Computing

Authors: Chaolong, Jia; Hanning, Wang; Lili, Wei;

Research on Visualization of Multi-Dimensional Real-Time Traffic Data Stream Based on Cloud Computing

Abstract

AbstractBased on efficient continuous parallel query series algorithm supporting multi-objective optimization, by using visual graphics technology for traffic data streams for efficient real-time graphical visualization, it improve human-computer interaction, to realize real-time and visual data analysis and to improve efficiency and accuracy of the analysis. This paper employs data mining processing and statistical analysis on real-time traffic data stream, based on the parameters standards of various data mining algorithms, and by using computer graphics and image processing technology, converts graphics or images and make them displayed on the screen according to the system requirements, in order to track, forecast and maintain the operating condition of all traffic service systems effectively.

Related Organizations
Keywords

Big Data, Smart Transportation, Cloud Computing, Parallel Query, Engineering(all), Visualization

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
gold