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AI Case Study

New Delhi Police plans to manage traffic in the city using camera sensors and machine learning

In order to address traffic woes facing the city, Delhi Traffic Police have proposed a system managed using artificial intelligence. The system would consist of sensors and cameras which continuously analyse roads to monitor traffic patterns, predict demand, identify and penalise drivers or pedestrians breaking rules and recommend actions to reduce traffic congestion.


Public And Social Sector


Project Overview

"The news traffic management system will work on a radar-based monitoring with the help of AI. The police analyse the traffic pattern, volume, number of vehicles, and other factors, and collect them on a cloud. The data then, would be used to manage the traffic — one of the key tools being the automated traffic signals.

The ITMS system will have high-resolution CCTV cameras which not only capture commuters who will break traffic rules but automatically will raise the challan that would be sent to their home. The system will also have Automated Number Plate Recognition cameras (ANPR) and lane monitoring system. This system will analyze traffic patterns, volume, and other factors in traffic monitoring then it will be sent to the cloud server which would then be used to manage traffic"

Reported Results

Planned; Results not yet available






"The time spent by Delhiites on city roads has doubled in the last six years and the speed of traffic during peak hours has been cut by half, says a study by six top road design experts and engineers."



"Around 7,000-8,000 cameras with multidirectional infrared and colourless laser sensors will count the volume based on image pattern analysis."

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