Dhaka, one of the world’s most congested cities, has taken a bold step toward modernization. For the first time in Bangladesh, an AI-powered smart traffic control system has been deployed in selected areas of the capital. This pilot program, developed by a collaboration between BUET and the Dhaka North City Corporation (DNCC), aims to reduce traffic congestion, travel time, and pollution using real-time data and machine learning.
It’s a sign that Bangladesh is beginning to embrace smart city technologies.
How Does It Work?
The system uses AI algorithms trained on traffic flow patterns, time-of-day data, and even weather conditions. Cameras and sensors have been installed at busy intersections in areas like Gulshan, Banani, and Mohakhali.
These sensors collect real-time data on traffic volume and vehicle types. The AI then calculates the optimal signal timing to clear congestion dynamically—without human interference.
Early Results Are Promising
According to DNCC officials, traffic delays during peak hours have already decreased by 23% in pilot zones. Ambulances and emergency vehicles are also receiving priority through AI-based route optimization.
Many commuters have noticed smoother signal transitions and less time stuck in traffic.
The Bigger Vision
City authorities plan to expand the system to all major intersections by 2026. A mobile app is also in development to provide real-time updates to drivers, helping them avoid congested routes.
Urban planners believe this project is a critical part of building a smart and sustainable Dhaka.
Challenges Ahead
Some challenges remain, such as frequent power cuts, outdated infrastructure, and limited internet coverage in certain areas. However, authorities are hopeful that with private sector partnership, the system will improve further.
