Source : PTI | Traffic management in Rajasthan’s capital Jaipur will soon shift from the conventional fixed-timer system to a fully AI-based mechanism, following the successful completion of a pilot project at Rambagh Circle, officials said on Monday.
They said the 39-day trial of the artificial intelligence (AI)-driven Intelligent Traffic Management System (ITMS) at Rambagh Circle achieved “100 per cent success”, prompting plans to expand the system across the capital city.
Under the next phase, 253 major intersections out of Jaipur’s total 423 junctions will be equipped with AI-based smart cameras and integrated with the ITMS, officials said.
The pilot project was carried out by Jaipur Traffic Police in collaboration with Data Core Infotech between June 3 and July 11.
Company directors Basant Goswami and Ojas Shukla said that, unlike the existing system — where traffic signals operate on fixed timings such as 60 or 90 seconds regardless of traffic density — the AI-based system dynamically adjusts signal timings.
“In the current system, signal timings remain fixed even if one road is empty and another has a long traffic jam. The AI-based ITMS works differently,” they said.
According to them, cameras installed at intersections continuously monitor vehicle volume and queue length in real time.
“The system automatically increases green time on roads with higher traffic pressure and reduces it on relatively empty roads. It functions round the clock without any manual intervention,” they added.
The initiative has been taken under the direction of Director General of Police Rajeev Kumar Sharma to make Jaipur’s roads congestion-free and reduce pollution.
During the trial period, over 4.88 lakh vehicles passed through the Rambagh Circle smoothly without any manual control, they said, adding that drivers experienced a direct saving of 8 to 45 seconds per lane, while the average green signal time was recorded at 33.63 seconds.
The AI system will also help enforce traffic discipline, officials said.
During the trial, each camera processed around 4,200 vehicles daily and automatically recorded details of about 450 traffic violations, including overspeeding, jumping red lights and wrong-side driving.
“With the implementation of this system, violators will find it difficult to escape detection,” they said.
