名称 | Web-based spatio-temporal data visualization technology for urban digital twin |
作者 | |
发布日期 | 2023
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关键词 | |
语种 | 英语
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相关链接 | [Scopus记录] |
摘要 | Digital twin technology is a fast-growing research topic, but it is still in its infancy. The organic combination of urban digital twin and web-based visualization of Spatio-temporal big data is one of the important directions for future smart city decision-making, planning, and management. This chapter introduces the potential of web-based visualization technology for enhancing the visualization of massive Spatio-temporal data. The advantages, key technologies, and common tools of web-based visualization, as well as the common form of visualization for different data. This chapter also presents an example of a web-based digital twin project called 3D UrbanMOB, including its feature, design concepts, and development details. This field is becoming increasingly important as researchers become more conscious of the necessity to use urban digital twins for monitoring, modeling, and assessment of urban events in the development of next-generation smart cities. |
DOI | |
期刊来源 | |
卷号 | 1
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页码 | 185-201
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学校署名 | 第一
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Scopus记录号 | 2-s2.0-85152849744
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来源库 | Scopus
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引用统计 |
被引频次[WOS]:0
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成果类型 | 其他 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/536858 |
专题 | 工学院_斯发基斯可信自主研究院 |
作者单位 | 1.Research Institute of Trustworthy Autonomous Systems,Southern University of Science and Technology,Shenzhen,Guangdong,China 2.Beijing Key Laboratory of Traffic Engineering,College of Metropolitan Transportation,Beijing University of Technology,Beijing,China 3.Center for Spatial Information Science,The University of Tokyo,Kashiwa-shi,Chiba,Japan 4.School of Urban Planning and Design,Peking University,Shenzhen,China |
第一作者单位 | 斯发基斯可信自主系统研究院 |
推荐引用方式 GB/T 7714 |
Yu,Qing,Shang,Wen Long,Chen,Jinyu,et al. Web-based spatio-temporal data visualization technology for urban digital twin. 2023-01-01.
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条目包含的文件 | 条目无相关文件。 |
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