Key Points

Udaipur has launched an innovative AI-driven traffic management system at the Fatehpura intersection to tackle urban congestion. The system uses high-resolution cameras and sensors to dynamically adjust traffic signals based on real-time vehicle movement. One remarkable feature is its ability to detect and prioritize emergency vehicles like ambulances and fire trucks. If successful, this technology could revolutionize urban traffic management across Rajasthan and potentially other Indian cities.

Key Points: AI Traffic Control Transforms Udaipur's Fatehpura Intersection

  • Smart cameras monitor real-time traffic flow at Fatehpura intersection
  • AI automatically adjusts signals based on vehicle density
  • Emergency vehicle detection enables instant signal priority
  • Pilot project costs Rs 10 lakh per intersection
2 min read

Artificial intelligence to control traffic congestion in Rajasthan's Udaipur

Rajasthan introduces AI-powered traffic management system using smart cameras and sensors to optimize vehicle flow and emergency response

"The AI system will automatically clear congested lanes and streamline movement - Ashok Anjana, Traffic Deputy Superintendent of Police"

Jaipur, Oct 10

Udaipur has taken a decisive step towards easing its traffic woes -- Artificial Intelligence (AI) will now manage traffic signals at the city's busy Fatehpura intersection, officials said.

The AI-driven traffic management system began its trial run on Friday, marking a new era in intelligent urban transport in Rajasthan.

The system uses high-resolution cameras and sensors to monitor vehicle movement across all four lanes.

Based on real-time traffic flow, the AI will automatically give a green signal to the lane with the highest number of vehicles, ensuring smoother movement and shorter waiting times.

If no vehicles are detected in a lane, the system will switch signals within five seconds, avoiding unnecessary delays that commonly occur with fixed-timer lights.

In a major innovation, the AI is designed to recognise the sound of ambulances and fire brigades.

Upon detecting these sirens, it will instantly turn the signal green on that route to allow emergency vehicles to pass without hindrance.

The entire setup is connected to a mobile app, allowing real-time monitoring and control by traffic authorities.

According to Traffic Deputy Superintendent of Police Ashok Anjana, traffic pressure increases sharply during morning and evening hours.

"The AI system will automatically clear congested lanes and streamline movement. Based on the results from the Fatehpura intersection, we plan to expand it to other key junctions across Udaipur," he said.

The pilot project includes installing high-resolution cameras and smart sensors, costing nearly Rs 10 lakh per intersection.

If successful, the system could revolutionise Udaipur's traffic management -- reducing congestion, saving fuel, and ensuring faster emergency response times.

- IANS

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Reader Comments

R
Rajesh Q
Great initiative! The ambulance detection feature could save lives. But I hope they've tested it thoroughly - technical glitches could create chaos on roads.
A
Arjun K
₹10 lakh per intersection seems reasonable if it actually reduces traffic jams. The fuel savings alone might justify the cost. Hope they expand this to Jaipur soon!
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Sarah B
As someone who visits Udaipur frequently, this is much needed. The tourist areas get extremely congested. Smart technology implementation like this makes me optimistic about India's urban development.
V
Vikram M
Good step forward, but what about maintenance? Our systems often fail due to poor upkeep. Hope they have a proper maintenance plan and trained staff.
N
Nisha Z
The mobile app monitoring is a brilliant addition! Traffic police can respond faster to issues. Hope this reduces their workload and makes roads safer for everyone 🚗

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