Jaipur to roll out AI traffic signals at 253 intersections after successful Rambagh Circle trial
AI cameras cleared 4.88 lakh vehicles in a 39-day trial, saving 8-45 seconds per lane at each signal.
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AI cameras cleared 4.88 lakh vehicles in a 39-day trial, saving 8-45 seconds per lane at each signal.
Jaipur: Traffic signals in Jaipur are set to shift from fixed timers to a fully artificial-intelligence-driven system, following the success of a 39-day trial at Rambagh Circle, one of the city’s busiest intersections. The initiative, driven by Director General of Police Rajiv Kumar Sharma, was carried out by Jaipur Traffic Police in partnership with Data Core Infotech, and monitored by Traffic DCP Yogesh Goyal.
Unlike conventional signals that run on a fixed cycle of 60 to 90 seconds regardless of actual traffic, the new AI-based Intelligent Traffic Management System (ITMS) uses cameras to continuously read live vehicle counts and queue lengths on each arm of an intersection. The system automatically extends green time for the road carrying heavier traffic and shortens it for lighter lanes, operating fully automatically round the clock without requiring a traffic police officer to operate any remote or switch, according to Data Core Infotech directors Basant Goswami and Ojas Shukla.
During the trial, held from June 3 to July 11, 2026, the system cleared more than 4,88,140 vehicles at Rambagh Circle without human intervention. Motorists saved between 8 and 45 seconds per lane, with the average lane green time recorded at 33.63 seconds. The smoother flow of traffic also cut carbon dioxide emissions by 2,535 kg over the 39 days, a reduction of about 65 kg a day, according to trial data. Following the trial’s success, the Jaipur Police Commissionerate plans to connect 253 of the city’s 423 intersections to the AI-based smart camera and ITMS network.
Beyond signal timing, the system is designed to flag traffic violations automatically. Each camera reads about 4,200 vehicles daily, with details of roughly 450 vehicles’ pending challans recorded automatically. Once rolled out, the cameras are expected to catch overspeeding, red-light jumping, wrong-side driving and lane violations, and to alert the control room instantly if a scanned vehicle already has challans pending against it.
Goswami and Shukla said the Rambagh trial marks only the first phase of the project. The next phase will involve multi-junction synchronisation, allowing signals at different intersections to communicate with each other and manage traffic along an entire route rather than a single junction. Later phases envisage automatic priority green signals for VIP movement, fire brigade vehicles and ambulances, so that patients are not held up in traffic. Officials said the shift is also expected to free up traffic police personnel from standing at intersections, allowing them to focus more on accident-prone spots, schools and markets.


