The Challenge
An urban planning department needed to test how proposed changes to a high-density public square — new structures, bus routes, construction zones — would actually affect pedestrian and traffic flow, before committing to real-world construction.
Our Approach
Accuracy of the digital twin came first, since stakeholder trust in the simulation depends on the base model matching the real square. AI-controlled pedestrians were built to react to layout changes rather than follow fixed paths, so moving a structure or closing a route produces a genuinely different simulated outcome instead of a cosmetic change, with public transport routes integrated into the same simulation.
Key Features
- Accurate 3D digital twin of the real public square
- Customizable layouts: move props and construction zones
- AI-controlled pedestrian simulation that reacts to layout changes
- Integrated public transport simulation (bus stands and routes)
Outcome
Used by urban planning departments to test the effects of proposed changes and collect stakeholder feedback before construction.
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