Jaipur's traffic management is entering the Artificial Intelligence era. The city's major intersections will soon replace traditional fixed-timer traffic signals with an AI-based Intelligent Traffic Management System (ITMS), which decides on its own how long the green signal should stay on in each direction based on the actual number of vehicles on the road. Jaipur Traffic Police, in collaboration with 'Data Core Infotech', tested the technology at Rambagh Circle for 39 days. After the successful trial, the system will be rolled out in phases at 253 of the city's 423 major intersections. The project was monitored under Traffic DCP Yogesh Goyal. Smart cameras installed at intersections continuously analyse the number of vehicles, queue length and traffic pressure in each lane; the direction with heavier traffic automatically gets more green time, while the lighter direction gets less, with no human intervention. During the trial held between 3 June and 11 July 2026, the system smoothly managed over 4.88 lakh vehicles, saved drivers 8 to 45 seconds per lane, and kept the average green time at 33.63 seconds. It cut roughly 2,535 kg of carbon dioxide emissions over 39 days, about 65 kg per day. The AI cameras also enforce traffic rules automatically, detecting overspeeding, red-light jumping, wrong-side driving and lane violations; one camera read about 4,200 vehicles daily and flagged nearly 450 potential challan cases. Future phases include multi-junction synchronisation and automatic green corridors for ambulances and fire brigades. If successful in Jaipur, the initiative may be extended to other large cities of Rajasthan.
Jaipur to deploy AI-based Intelligent Traffic Management System at 253 intersections
Jaipur will deploy an AI-based Intelligent Traffic Management System at 253 of its 423 intersections after a successful 39-day trial at Rambagh Circle, where the system adjusts signal timings in real time based on vehicle count and managed over 4.88 lakh vehicles.
Key facts
- Jaipur will replace fixed-timer signals with an AI-based Intelligent Traffic Management System (ITMS) at 253 of its 423 intersections.
- The system was trialled for 39 days at Rambagh Circle by Jaipur Traffic Police with 'Data Core Infotech', monitored under Traffic DCP Yogesh Goyal.
- Smart cameras adjust green-signal timing in real time based on vehicle count, queue length and traffic pressure in each lane, without human intervention.
- During the 3 June to 11 July 2026 trial the system managed over 4.88 lakh vehicles, saved drivers 8 to 45 seconds per lane and cut about 2,535 kg of CO2 over 39 days.
- AI cameras also detect overspeeding, red-light jumping, wrong-side and lane violations; one camera flagged nearly 450 potential challan cases daily.
- Future phases plan multi-junction synchronisation and automatic green corridors for ambulances and fire brigades, with possible expansion to other Rajasthan cities.
Practice MCQ from this story
SolveTap an option below. Correct or incorrect feedback appears instantly.
With reference to the AI-based Intelligent Traffic Management System (ITMS) being introduced in Jaipur, consider the following statements: 1. The system was trialled at Rambagh Circle for 39 days before its phased rollout. 2. The system adjusts the green-signal duration in real time based on the actual number of vehicles, without human intervention. Which of the statements given above is/are correct?
Both statements are correct. Jaipur Traffic Police, with 'Data Core Infotech', trialled the AI-based ITMS at Rambagh Circle for 39 days (3 June to 11 July 2026) before planning a phased rollout at 253 of the city's 423 intersections. The system uses smart cameras to analyse vehicles, queue length and traffic pressure in each lane and automatically adjusts green-signal timing in real time without human intervention. Hence the answer is C.
Source: Amar Ujala
Frequently asked questions
What is the AI-based Intelligent Traffic Management System (ITMS)?
It is a system that uses smart cameras and AI to decide green-signal duration in real time based on the actual number of vehicles in each lane, replacing traditional fixed-timer signals.
At how many intersections will the system be deployed in Jaipur?
It will be rolled out in phases at 253 of the city's 423 major intersections.
Where and for how long was the system trialled?
It was trialled at Rambagh Circle for 39 days, between 3 June and 11 July 2026, by Jaipur Traffic Police with 'Data Core Infotech'.
What were the main results of the trial?
The system managed over 4.88 lakh vehicles, saved drivers 8 to 45 seconds per lane, kept the average green time at 33.63 seconds and cut about 2,535 kg of CO2 in 39 days.
Besides managing traffic, what else can the AI cameras do?
They automatically detect violations such as overspeeding, red-light jumping, wrong-side driving and lane violations, and flag vehicles with pending challans.
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