Urban Infrastructure Optimization

Development of a city planning assistant that uses zoning, traffic, and satellite data to recommend optimal road layouts and utility planning for urban areas.

The Challenge

City planners lacked a unified system for merging geospatial insights with predictive infrastructure modeling, leading to inefficient planning.

Our Solution

We built a concept engine that processes OSM and zoning datasets, visualizes inefficiencies, and recommends smart road networks and public service placements.

Results

• Optimized 3 simulated city districts with 25% better traffic flow
• Visual mapping of zoning conflicts
• Supported polygon-based and raster-layer input
• Presented at a smart city tech event