AI Traffic Management Rolls Out in Dhaka

In a groundbreaking move, Dhaka has unveiled its first AI-powered traffic enforcement system to combat chronic traffic congestion and improve road discipline in one of the most densely populated cities globally. This initiative represents a major evolution in Bangladesh’s urban traffic management, leveraging technology to tackle longstanding transport chaos and rule-breaking habits.

Historically, Dhaka's traffic management relied on manual enforcement, with officers often seen using ropes and hand signals to manage vehicles, while many drivers disregarded traffic signals, pedestrian crossings, and lane rules. With a population exceeding 22 million, the city has endured intense traffic jams that significantly affect daily activities and economic outputs.

The new AI system was incorporated into Dhaka's traffic monitoring framework in April 2026, connecting existing cameras at major intersections to sophisticated software capable of automatically identifying violations. This technology can detect offenses like running red lights, illegal lane changes, improper parking, and reckless driving without the need for officers to physically intervene.

Authorities indicate that the new system is already influencing driver behavior across the city. Individuals who breach traffic regulations receive instant notifications and fines via digital systems linked to vehicle registration. One driver reported receiving a text notification and a 2,000 taka fine shortly after his vehicle was recorded crossing a red light by the AI system. Since its implementation, many residents have become more cautious in monitored zones.

Early on, Dhaka police noted that the system recorded around 800 violations in just one day. Officials have stated that current fines are mainly targeted at serious offenders, while those committing minor infractions typically receive warnings. This method is expected to help residents ease into a new era of digital enforcement.

At the traffic control center, human analysts monitor AI-generated reports to confirm violations before penalties are applied, ensuring that technology complements human oversight rather than replaces it entirely. Authorities anticipate that this new method will also minimize confrontations between drivers and officers, a common issue in Dhaka.

Nevertheless, officials acknowledge that the project faces technical and operational hurdles. Reports indicate some vehicle number plates are too small, damaged, or unclear for accurate identification. Moreover, the current system primarily addresses motor vehicles while the regulation of the vast number of pedal rickshaws in the city remains a challenge.

Transport specialists assert that the long-term viability of the AI initiative hinges on consistent enforcement and policy application. Previous modernization efforts have faltered due to lack of continuity and accountability. Authorities remain hopeful that this AI-driven approach will foster a more orderly and efficient transit system for Dhaka’s rapidly expanding populace.