Generative AI for Data-Driven Co-Design of Urban Infrastructures

The project team will establish generative AI principles for urban co-design, identifying interfaces, architectures, essential data, and state-of-the-art tools; will integrate the principles in the existing urban co-design framework, enhancing evaluation metrics to account for extreme scenarios, and to find optimal solutions in terms of various trade-offs (e.g., designing fleet sizes and operations with varying demands); and deploy the developed framework on an exhaustive list of real-world case studies, by allowing users to co-design an urban ecosystem in simulation via an interactive graphic interface   

"This approach paves the way to structure such urban design problems in a modular and compositional way, at the interface of intellectual and computational tractability, while leveraging the emerging strength of generative AI to produce critical, unforeseen scenarios to test. In particular, it promises to provide an interface for various stakeholders of the mobility ecosystem to reason about such complex co-design problems, blending advances in optimization and generative AI," says the team.

Funding for this project was provided by the Sidara Urban Seed Grant Program at the Norman B. Leventhal Center for Advanced Urbanism, Massachusetts Institute of Technology.