Implementation Details of the NYC Digital Twin
davidfromkansas · x · 2026-07-11
This post details the core implementation behind the New York City digital twin project.
- About 10,000 synthetic residents inhabit the city, with demographics matching the actual population structure.
- Each persona is derived from anonymized government census records, containing aggregated data on neighborhood, education, age, and occupation.
- Generated by LLMs, these residents react to real-time weather and current news.
- The 3D city is rendered using three.js and real-world city data, comprising 86,000 street segments and 305,000 actual building footprints.
- The author synthesizes this data into a "spatial intelligence" layer, enabling LLM agents to understand and navigate the entire city, with daily snapshots saved to track urban changes.
Related event: Developer Builds a Real-Time Digital Twin of New York(3 posts)→
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