Jaipur to replace fixed traffic signals with AI that changes lights in real time

Jaipur is set to upgrade its traffic management with an AI-powered Intelligent Traffic Management System (ITMS). After a successful 39-day trial at Rambagh Circle, the city plans to expand the technology to 253 major junctions.

In Short

• AI traffic signals adjust green time based on live traffic
• Jaipur plans to cover 253 major intersections with the system
• Trial records lower waiting time and reduced carbon emissions

Jaipur is preparing to take a major step towards smarter traffic management by replacing traditional fixed-timer traffic signals with an AI-powered Intelligent Traffic Management System (AI ITMS).

The move comes after a 39-day pilot project at the busy Rambagh Circle delivered encouraging results, with the system managing traffic without human intervention.

The AI traffic signals automatically analyse live traffic density and adjust signal timings in real time, reducing unnecessary waiting at intersections.

Following the successful trial, Jaipur Police plans to extend the AI-based system to 253 of the city's 423 traffic junctions, making it one of the largest smart traffic upgrades in the country.

HOW THE AI TRAFFIC SIGNAL SYSTEM WORKS

Unlike conventional traffic signals that operate on fixed timers, the AI ITMS uses smart cameras to monitor vehicle numbers and queue lengths around the clock.

The system automatically increases the green signal duration on roads with heavier traffic while reducing it on roads with fewer vehicles.

This happens without any manual intervention, allowing traffic to flow more smoothly throughout the day.

The project has been introduced by Rajasthan Police under the initiative of Director General of Police Rajeev Kumar Sharma and was monitored by Jaipur Traffic DCP Yogesh Goyal. The trial was carried out in collaboration with Data Core Infotech.

39-DAY TRIAL DELIVERS PROMISING RESULTS

The pilot project was conducted at Rambagh Circle between June 3 and July 11, 2026.

During the trial, the AI system managed the movement of more than 4.88 lakh vehicles without human intervention.

Drivers saved between 8 and 45 seconds per lane on average, while the average green signal time stood at 33.63 seconds.

The smoother traffic flow also helped reduce emissions. According to the trial data, around 2,535 kg of carbon dioxide emissions were avoided over 39 days, averaging about 65 kg per day.

AI WILL ALSO IDENTIFY TRAFFIC VIOLATIONS

The AI system is designed to do more than manage traffic signals.

According to officials, each camera can read around 4,200 vehicles daily, with nearly 450 vehicles identified for traffic violations every day.

The system can automatically detect offences such as overspeeding, red-light jumping, wrong-side driving and lane violations.

It can also scan number plates and instantly alert the control room if a vehicle has pending traffic challans.

WHAT'S NEXT FOR JAIPUR?

After the successful pilot, Jaipur Police plans to connect 253 major intersections to the AI-powered ITMS.

In the next phase, multiple junctions will communicate with one another so traffic can be managed across entire routes rather than at individual intersections.

Future upgrades will also allow ambulances, fire brigade vehicles and VIP convoys to receive automatic green signal priority, helping emergency vehicles move through the city faster.

- Ends