Artificial intelligence (AI) combined with virtual reality (VR) could guide us through tomorrow's cities before they are even built, according to research in the International Journal of Environment and Pollution. Such models could be useful for architects, planners, and policymakers.
The team describes a modelling method that uses computer vision, technology that enables computers to interpret images, to scan architectural drawings and buildings. Machine learning (ML), a form of AI that identifies patterns in data, then processes these scans to allow VR technology to construct realistic virtual architectural scenes.
The researchers suggest that greater automation of this process could reduce the labour and resources required by conventional 3D modelling, in which scanned material is often assembled and processed manually. This will be increasingly important as expanding cities place greater demands on infrastructure management and public services. Aside from applications in architecture and construction, the virtual city environments could be used to simulate transport conditions, investigate how tourism might be supported, and also allow responses to emergencies to be rehearsed. Such simulations would allow officials and other professionals to test scenarios in a controlled digital environment before acting in the physical city.
The work points towards digital representations of urban areas becoming increasingly useful in the management of infrastructure and the coordination of complex projects.
Dai, D., Tu, B. and Liu, J. (2026) 'Generation of virtual reality landscape scenes for digital urban architecture based on AI', Int. J. Environment and Pollution, Vol. 76, No. 8, pp.109-122.
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