Paper
27 March 2024 Visual coordination planning and simulation of ancient city street landscape and surrounding environment
Ruqing Wang, Tong Qiu, Qing Wang
Author Affiliations +
Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 1310534 (2024) https://doi.org/10.1117/12.3026480
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China
Abstract
Due to the pressure of urbanization and commercial development on the landscape of the ancient city streets, excessive development of commercial and standardized planning schemes has led to the loss of the original unique charm of the ancient city street landscape, resulting in a decrease in environmental quality. To this end, a simulation method for visual coordination planning between the ancient city street landscape and the surrounding environment has been proposed. Using GIS technology, collect data on the ancient city street landscape and surrounding environment, and use multi-objective functions to construct a visual coordination planning model for the ancient city street landscape and surrounding environment. On this basis, an adaptive ant colony algorithm is used to solve the visual coordination planning model between the ancient city street landscape and the surrounding environment, achieving visual coordination planning between the ancient city street landscape and the surrounding environment. The experimental results show that the proposed method has a good visual coordination planning effect between the ancient city street landscape and the surrounding environment, and can effectively reduce the cost of visual coordination planning between the ancient city street landscape and the surrounding environment.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Ruqing Wang, Tong Qiu, and Qing Wang "Visual coordination planning and simulation of ancient city street landscape and surrounding environment", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 1310534 (27 March 2024); https://doi.org/10.1117/12.3026480
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KEYWORDS
Visualization

Visual process modeling

Data modeling

Geographic information systems

Sustainability

Image quality

Standards development

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