Generated Cities and Architecture
summary
A research project called DaFne defines 10 use cases and a six step pipeline from challenge identification to validating synthetic data for city design. A tool named motivity generates happier or unhappier pedestrian routes using a scoring system, agent based simulation and deep reinforcement learning trained on real maps and tied to citizen surveys. Work also produces synthetic urban datasets, integrates LLMs for hypothesis extraction and prototypes VR/AR visualization while noting data quality and ethical limits.
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