AI-Based Traffic System to Be Implemented in Visakhapatnam
The Visakhapatnam District Administration and City Police have decided to move forward with an Artificial Intelligence (AI) based traffic management system to streamline vehicular movement and enhance road safety in the city. A review meeting in this regard was held on Friday at the District Collector’s Office.
Senior officials, including Visakhapatnam MP M. Sribharat, City Police Commissioner Shankhabrata Bagchi, District Collector M. N. Harendhira Prasad, and GVMC Commissioner Ketan Garg, reviewed proposals submitted earlier by several leading software firms.
As part of the plan, an Adaptive Traffic Control System (ATCS) will be installed at 101 major junctions. The system will automatically detect violations such as riding without helmets, triple riding, signal jumping, wrong-lane driving, unauthorized parking, and the use of fake or non-standard number plates. Offenders will be issued e-challans without manual intervention. Over speeding, racing and stunt riding will also be monitored, and legal action will follow where necessary.
In addition, AI-based facial recognition cameras will be installed at 25 key locations. The technology will enable real-time identification of individuals with criminal histories or those under surveillance. Alerts will be relayed directly to local police stations through the command control system.
Traffic signal synchronization is also planned to reduce travel time and ease congestion, particularly during peak hours. To support emergency and VVIP movement, three green corridors will be established: along the National Highway within city limits, Railway Station Road, and the Baji Junction–Pendurthi BRTS corridor.
The Greater Visakhapatnam Municipal Corporation will assist in preparing a Request for Proposals (RFP) to invite tenders for the implementation of the project over a five-year period.
Officials stated that the initiative is expected to significantly modernize traffic management in Visakhapatnam and improve overall commuter safety.