Citation:
Qiao Sun, Lingyu Zhu, Yaliang Cao, Junxi Liu. Research on Management Method of Large Volume 3D Spatial Data in Traffic Engineering. Journal of Information Technologyin Civil Engineering and Architecture,
2023, 15(5): 118-122.
doi: 10.16670/j.cnki.cn11-5823/tu.2023.05.21
2023, 15(5): 118-122. doi: 10.16670/j.cnki.cn11-5823/tu.2023.05.21
Research on Management Method of Large Volume 3D Spatial Data in Traffic Engineering
Yunji Smart Engineering Company, Shenzhen 518094, China |
The data platform of traffic engineering industry generally has problems e.g. wide data sources, heterogeneous data types, huge data storage and poor data display effect. Aiming at solving existing problems above, this paper proposes a management method for large volume 3D spatial data in the traffic engineering industry based on the new generation of information technologies e.g. 3D GIS, the Internet of Things, and big data, etc., which can be employed for lightweight, web GL rendering, and traffic edge data processing of large volume 3D spatial data, effectively solving the model rendering bottleneck and improving the rendering efficiency. With the help of information technology, the paper improves the management and rendering efficiency of large volume 3D spatial data of traffic engineering related platform software, which has a positive significance for the digital development of the traffic industry.
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