Integrating AI for sustainable architectural space optimization and heritage-conscious street design
Yanan Hu, Jie Zhong, Zhiming Peng · 2026
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Description
Yanan Hu, Jie Zhong and Zhiming Peng present in 2026 an artificial intelligence framework for redesigning historic street districts that balances foot access, traffic flow, green space and heritage protection. Static master plans adapt poorly as crowds and traffic shift through the day.
Vision networks extract spatial features, graph networks model street connectivity, while reinforcement learning adjusts layouts dynamically. Trials in historic cities reported congestion down by about one fifth, green space up by about one quarter, and pedestrian access up by about one third versus traditional methods. Heritage values are treated as constraints inside the optimisation, not afterthoughts.
Catalog record
| CREATOR | Yanan Hu, Jie Zhong, Zhiming Peng |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 127187 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |