AI Traffic Signal Management
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North Carolina

AI Traffic Signal Management

State transportation agencies often lack real-time visibility into how traffic is moving through signalized intersections, since gathering that data traditionally requires deploying and maintaining physical hardware like cameras that can cost up to $75,000 per unit. Without that visibility, engineers are largely reacting to resident complaints rather than proactively managing signal timing, delays, queue lengths, and idling emissions.

Year added2025
Status as of Spring 2026Deployed
Primary AgencyTransportation
Approach and SolutionThe North Carolina Department of Transportation deployed AI-powered traffic signal management software from Flow Labs to 2,500 intersections across the state. The platform draws on GPS data from connected vehicles, applies machine learning to clean datasets and surface anomalies, and consolidates the results into a single interface that traffic controllers can use to optimize signal timing and inform infrastructure planning.
Who it ServesThe Public
Area of ImpactTransportation
AI Technology TypePredictive AI
Level of Human OversightAI-assisted decision (human review required)