Rajasthan
Udaipur Launches AI-Powered Traffic System
- 14 Oct 2025
- 2 min read
Why in News?
Udaipur has launched an artificial intelligence (AI)-driven traffic signal system at the busy Fatehpura intersection as part of a pilot project aimed at improving traffic management.
- The initiative seeks to streamline traffic flow, reduce congestion, and save commuters’ time.
Key Points
- About: Unlike conventional traffic lights that function on fixed schedules, the new AI-based system employs high-resolution cameras and sensors to monitor real-time vehicle movement.
- The AI continuously analyses traffic density in each lane and dynamically adjusts signal timings to optimise flow.
- Lanes with minimal traffic receive shorter green signals, while heavily congested lanes are given extended green durations, allowing for smoother movement across the intersection.
- The system is also integrated with a mobile application, enabling traffic authorities to monitor conditions remotely and make data-driven adjustments when necessary.
- Priority for Emergency Vehicles: Beyond regular traffic control, the system is equipped with sound sensors capable of detecting sirens from ambulances and fire engines.
- When such a siren is detected, the AI instantly switches the corresponding signal to green, allowing emergency vehicles to pass through intersections without delay, a feature aimed at improving response times during emergencies.
- Data-Driven Urban Mobility: In addition to managing immediate congestion, the AI system collects and records traffic data throughout the day. These insights will enable city authorities to analyse long-term traffic patterns and develop more efficient management strategies.
- Significance: If the Fatehpura trial proves effective, Udaipur plans to implement similar AI-based systems at other major junctions across the city, marking a significant step toward smart and data-driven urban mobility.
