Cited By
View all- He WYuan AGu XLiao Z(2022)Transfer functions in volume rendering of lake water quality using concentration frequency distributionEnvironmental Earth Sciences10.1007/s12665-022-10490-x81:14Online publication date: 15-Jul-2022
Real-time Data Visualization of Intelligent Networked Vehicles
Pages 180 - 184
Abstract
In recent years, with the advent of the Internet of Things era of "Internet of Everything", the amount of data generated by human society has exploded. Visualization provides an intuitive, vivid, and effective way to visualize complex data in a visual and interactive way, making it possible to display data information very efficiently. In the field of transportation, data information is closely related to visual elements such as maps and statistical charts. Visualization technology can be well used. Therefore, combining visualization technology with traffic data processing will greatly promote the development of the intelligent transportation industry. This paper first outlines the three directions of visualization technology research: scientific visualization, information visualization, visual analysis, and introduces the method of intelligent networked automotive visualization analysis. Several mainstream visualization components and visualization tools were then elaborated: ECharts, HighCharts, D3, and DataV. Finally, the design and implementation of a real-time data visualization system based on hierarchical structure is analysed in detail.
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Index Terms
- Real-time Data Visualization of Intelligent Networked Vehicles
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Published In
April 2020
234 pages
ISBN:9781450377713
DOI:10.1145/3398329
Copyright © 2020 ACM.
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In-Cooperation
- University of Salamanca: University of Salamanca
- The University of Adelaide, Australia
- Edinburgh Napier University, UK: Edinburgh Napier University, UK
- University of Sydney Australia
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 31 May 2020
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- Research-article
- Research
- Refereed limited
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CNIOT2020
CNIOT2020: 2020 International Conference on Computing, Networks and Internet of Things
April 24 - 26, 2020
Sanya, China
Acceptance Rates
CNIOT '20 Paper Acceptance Rate 39 of 82 submissions, 48%;
Overall Acceptance Rate 39 of 82 submissions, 48%
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View all- He WYuan AGu XLiao Z(2022)Transfer functions in volume rendering of lake water quality using concentration frequency distributionEnvironmental Earth Sciences10.1007/s12665-022-10490-x81:14Online publication date: 15-Jul-2022
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