Paper
20 February 2024 Design and application of transport planning analysis and data service platform based on flexible architecture technology
Shuo Zhang, Mingchen Gu, Xuezhi Wu, Hong Liu, Xinghua Huang
Author Affiliations +
Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130643B (2024) https://doi.org/10.1117/12.3015798
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China
Abstract
In order to solve the problems of insufficient sharing and multiplexing of integrated transportation planning services, weak ability of multi-user large-scale concurrent services of high-frequency data and spatial data, lack of customized sub-scene collaborative application functions, design and develop Transport planning analysis and data service platform(i.e., “the platform”) based on flexible architecture technology. The platform bases on SpringCloud mature distributed micro-service technology framework, integrates advanced digital and intelligent technologies of comprehensive transportation planning space-time big data governance, land space resource elements and visualization, initially builds a basic data center for transportation planning, a technical support experimental platform for transportation space planning and an electronic map for space planning that integrates data analysis, platform support, and model application. The construction and application of the platform comprehensively improved the scientific nature of the evaluation of comprehensive transportation spatial planning, and has initially played an important role in assisting the connection of transportation sector planning and territorial spatial planning.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shuo Zhang, Mingchen Gu, Xuezhi Wu, Hong Liu, and Xinghua Huang "Design and application of transport planning analysis and data service platform based on flexible architecture technology", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130643B (20 February 2024); https://doi.org/10.1117/12.3015798
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KEYWORDS
Transportation

Databases

Data modeling

Data storage

Computing systems

Data conversion

Network architectures

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