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Design and Optimization of Urban Spatial Environment Based on Digital Intelligent VR Technology.
- Source :
- Procedia Computer Science; 2024, Vol. 243, p758-765, 8p
- Publication Year :
- 2024
-
Abstract
- With the advent of the information age, new generation information technologies such as artificial intelligence (AI) and blockchain have had a profound impact on urban development. It not only improves the operational efficiency of various industries, changes the operational processes of various industries, but also has an important impact on the spatial environment composition of cities by influencing the production and living patterns of residents. "Smart city" is a form of urban organization based on information technology, characterized by digitization, intelligence, and networking. This article focuses on using virtual reality (VR) technology to deeply explore the design and optimization of urban spatial environment, and analyzes in detail the application of digital intelligence technology in urban planning. Through case studies, how these technologies optimize urban spatial layout is demonstrated. Furthermore, this article points out the optimization and improvement directions of existing urban spatial environment design technologies, and evaluates the effectiveness. The specific application of intelligent VR technology in urban spatial optimization is pointed out. In terms of design cost, the traditional method requires 5 million yuan, and the VR method requires 6 million yuan; in terms of change costs, the traditional method requires 800 thousand yuan, and the VR method requires 500 thousand yuan. This article is of significant value and provides new perspectives and practical tools for future urban spatial planning and design work. [ABSTRACT FROM AUTHOR]
- Subjects :
- INFORMATION technology
URBAN growth
URBAN planning
CITIES & towns
SMART cities
Subjects
Details
- Language :
- English
- ISSN :
- 18770509
- Volume :
- 243
- Database :
- Supplemental Index
- Journal :
- Procedia Computer Science
- Publication Type :
- Academic Journal
- Accession number :
- 180296662
- Full Text :
- https://doi.org/10.1016/j.procs.2024.09.091