Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin
École Polytechnique Fédérale de Lausanne
Abstract
Rapid urbanization, alongside escalating resource depletion and ecological degradation, underscores the critical need for innovative urban development solutions. In response, sustainable smart cities are increasingly turning to cutting-edge technologies—such as Generative Artificial Intelligence (GenAI), Foundation Models (FMs), and Urban Digital Twin (UDT) frameworks—to transform urban planning and design practices. These transformative tools provide advanced capabilities to analyze complex urban systems, optimize resource management, and enable evidence-based decision-making. Despite recent progress, research on integrating GenAI and FMs into UDT frameworks remains scant, leaving gaps in our ability to…
Citation impact
- FWCI
- 39.80
- Percentile
- 100%
- References
- 160
Authors
3Topics & keywords
- Generative grammar
- Artificial intelligence
- Computer science
- Smart city
- Internet of Things
- Computer security
- Sustainable cities and communities