On 27th March 2023, the Hon’ble Chief Minister of Goa, Shri Pramod Sawant, unveiled an Intelligent Traffic Management System powered by artificial intelligence (AI) at the Merces junction in Goa. This state-of-the-art system is designed to provide comprehensive support to state authorities in ensuring security and efficient signal management. By utilising AI technology, the system automatically identifies violations and promptly dispatches an e-challan to the address of the violator. Hon’ble Chief Minister Sawant expressed his excitement, stating that this marks the first implementation of an AI-powered traffic signal system in Goa. He emphasised the system’s potential to revolutionise traffic management, benefiting the traffic police force by enabling them to efficiently monitor traffic and enhance security measures. The primary objective of this system is to reduce human errors and curb corruption in traffic management. Real-time photographs will be captured as evidence in cases of traffic rule violations, ensuring accurate documentation. It is noteworthy that this system is already operational in other Indian states such as Delhi, Tamil Nadu, and Karnataka. The system possesses advanced capabilities, including the ability to detect various violations such as exceeding speed limits, running red lights, stop lane breaches, riding without a helmet, driving without a seatbelt, triple-riding, and using mobile phones while driving. The process of identifying traffic violations begins with the Automatic Number Plate Recognition (ANPR) system, which captures violations through CCTV cameras. The system then retrieves vehicle and licence details from the Vahan and Sarathi databases. Upon identifying a violation, a notice is generated and sent to the violator. The violator can conveniently pay the challan amount online through the eChallan system. Overall, the implementation of the Intelligent Traffic Management System (ITMS) allows the traffic police to focus on effective traffic management and regulation. The collected data is securely stored on a server owned by the traffic police, enabling comprehensive analysis and monitoring of traffic patterns. Moreover, the police force has future plans to leverage this system to track vehicles without number plates and identify stolen vehicles, further enhancing security measures on the roads.