Bengaluru’s AI-Powered Smart Traffic Signals
Discover how AI-powered adaptive traffic signals in Bengaluru are reducing congestion by dynamically adjusting light timings across 165 junctions in early 2025.

Bengaluru’s Smart Signals: AI Traffic Control Cutting Commute Times
SpotGenie Gyaan explores how artificial intelligence is helping Bengaluru fight traffic congestion—with smart signals that adapt in real time.
Understanding AI Traffic Signals
Bengaluru is rolling out AI-powered Adaptive Traffic Control Systems (ATCS) under its smart mobility mission. These systems use traffic sensors and computer vision to assess real-time vehicle flow, adjusting signal durations based on congestion, density, and direction. This means shorter wait times at red lights and improved traffic distribution across city routes.
What’s Already Live in Bengaluru
The AI signal systems are currently active at 41 major junctions including Hudson Circle, Minerva Circle, Halasuru Gate, and KR Road. As part of the city’s strategic mobility upgrade plan, Bengaluru will expand this to 165 junctions by January 2026—with plans to reach over 500 junctions by 2027.
Impressive Results to Date
Initial pilot corridors showed an average 33% reduction in waiting time and significant improvement in traffic flow. At Hudson Circle alone, the hourly vehicle throughput increased by 18%—demonstrating how AI traffic management can outpace manual signal control, especially during peak hours.
How It Works & What It Detects
- Live Cameras & Sensors: Detect vehicle volume in every direction.
- Dynamic Signal Adjustment: AI alters red and green timings based on current traffic load.
- Green Corridors: Traffic waves are synchronized to ensure minimal braking on main corridors.
- Emergency Override: Priority signals allow passage of ambulances and emergency services.
What Commuters & Authorities Should Know
- For Commuters: Expect smoother journeys, reduced idling, and smarter lane behavior.
- For Civic Planners: These systems reduce need for manual traffic police, lower carbon emissions from idling vehicles, and enable real-time traffic monitoring.
Conclusion
AI traffic management isn’t a concept for the future—it’s happening now in Bengaluru. With strong results and scalability, it's poised to become a model for other Indian metros facing traffic gridlock. Smarter signals mean smarter cities—and smarter commutes.
Which signal near you should go AI next? Share your suggestions with SpotGenie Gyaan—we're listening!
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