Jaipur’s Rs 350-crore AI traffic system will now be implemented in phases over 10 years, replacing an earlier plan to complete the project by the end of August, a senior Jaipur Development Authority official said. The system is intended to bring real-time traffic monitoring, adaptive signals, automated violation detection and centralised oversight to the city’s road network.
JDA adviser R K Sharma said the revised plan supersedes earlier proposals to integrate artificial intelligence and Intelligent Traffic Management System technology across Jaipur. The first phase is expected to cover around 330 locations, including existing traffic junctions. The network could later be expanded to 500 locations, although the larger rollout may take up to 12 years, according to the project details reported by the Times of India.
The system will use AI-enabled cameras and traffic sensors to monitor vehicle movement and congestion in real time. At junctions equipped with adaptive signals, signal timings will be adjusted automatically according to traffic volumes rather than operating on fixed cycles. The stated objective is to allow traffic signals to respond to changing conditions at individual intersections.
The project also includes automated detection of several traffic violations. These include red-light jumping, speeding, wrong-way driving and lane violations. Number-plate recognition technology will identify vehicles, allowing detected violations to be processed through the e-challan system. The project specifications also provide for a central command centre from which officials can monitor traffic conditions and signal operations across the city.
The planned cameras are also expected to identify incidents such as waterlogging and potholes. This would extend the system’s role beyond traffic enforcement and signal management to the reporting of road-related disruptions. The source report does not specify how quickly such alerts would be acted upon or which agency would be responsible for coordinating responses.
The revised timeline follows an AI-based traffic signal pilot at Rambagh Circle, where adaptive signal technology was tested in August. That pilot preceded the wider proposal to deploy AI and ITMS components across Jaipur’s traffic network. The current plan therefore moves the city from a limited junction-level test towards a long-term, citywide deployment model.
The shift to a decade-long rollout means that the project will be introduced incrementally rather than through a single citywide launch. The initial deployment is planned for approximately 330 locations, while expansion to 500 locations could take as long as 12 years. Further details on phase-wise deadlines, procurement arrangements and the implementation schedule were not provided in the report.