AI-Based Traffic Enforcement System Introduced In Dhaka To Detect Violations
Dhaka introduces AI traffic enforcement to reduce congestion and violations.
In a major step toward modernising one of the world’s most congested urban transport systems, authorities in Bangladesh’s capital have introduced an artificial intelligence-powered traffic enforcement system aimed at easing chronic gridlock and improving road discipline in Dhaka.
The initiative comes as the city of more than 22 million people continues to struggle with severe traffic congestion, where vehicles, motorcycles, buses and pedal rickshaws often compete aggressively for limited road space. Until recently, traffic control in many parts of Dhaka relied heavily on manual enforcement, with police officers directing vehicles on the streets despite ongoing attempts to introduce automated systems.
Under the new system launched in April, Dhaka traffic police have linked existing surveillance cameras to AI software capable of detecting traffic violations in real time. The technology identifies offences such as running red lights, illegal parking, and lane violations, with alerts then reviewed by human operators before fines are issued to offenders.
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Officials say the system is already beginning to influence driver behaviour. Motorists caught violating rules receive automated notifications, including text messages informing them of penalties. In one reported case, a driver who ran a red light received a fine of 2,000 taka (about $16) while his vehicle owner was notified remotely. Police say such enforcement has encouraged greater caution among drivers.
Traffic authorities report that hundreds of violations have already been processed since the system was introduced, with at least 300 vehicles formally prosecuted. However, officials also acknowledge that enforcement remains selective for now, with only the most serious offenders being fined while others receive warnings as the system continues to scale up.
Despite early progress, challenges remain in fully implementing AI-based traffic control across the entire city. Issues such as unclear number plates and the vast presence of non-motorised vehicles, particularly pedal rickshaws, continue to complicate enforcement. Experts note that while technology is a key step forward, long-term success will depend on consistent enforcement and broader reforms in road governance.
Urban transport specialists also point out that Dhaka’s traffic crisis is deeply rooted in systemic issues beyond enforcement alone. With average speeds in the city often dropping to below walking pace, experts argue that sustained political will, infrastructure upgrades, and public compliance with traffic rules will be essential to ensuring that technological interventions deliver lasting improvements.
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