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Use Case 29 · Public Sector & Smart City

Smart City Municipal Traffic Light Signal Optimization

Adaptive real-time traffic signal timing driven by computer vision and road sensors.

Head of Urban Transportation Smart City Project Lead
Illustration: Smart City Municipal Traffic Light Signal Optimization

Customer need & pain point

The problem this replaces.

  • Fixed-timer traffic signals cause severe urban congestion during peak rush hours.

Step-by-step execution

How the engine executes it.

01

Mycelium Ingestion

Module 1

Aggregate intersection camera vehicle counts and pedestrian button presses in real time.

02

Multi-LLM Routing

Module 1

Calculate vehicle queue lengths and flow velocity across key road arterial routes.

03

Agentic AI

Module 4

Adjust green light phase durations dynamically via smart traffic controllers.

04

Agentic AI

Module 4

Prioritize signal green waves for public transit buses and ambulances.

Quantifiable ROI & impact

What changes commercially.

  • 23% drop in average commute travel time
  • 18% reduction in urban idling emissions

The “aha” moment

“City traffic flows continuously now because traffic signals adjust dynamically to real-time road conditions.”
Director of Urban Mobility (Metropolitan Municipality)