Lalitpur, July 26, 2025
A tale of two cities is unfolding in the heart of Nepal’s capital valley. While Lalitpur has embraced cutting-edge technology to streamline its traffic flow, Kathmandu continues to grapple with chronic congestion and outdated infrastructure.
Lalitpur Metropolitan City has successfully deployed an AI-based Intelligent Traffic Light System across key intersections such as Jawalakhel, Pulchowk, Ekantakuna, and Bhaisepati. This pioneering system uses real-time vehicle detection to adjust traffic signal timing automatically, significantly reducing the need for on-the-ground traffic police intervention.
"Previously, managing VIP movement was stressful and risky, often requiring us to override red lights," says Sitaram Hachhethu, chief of Lalitpur Metropolitan Security Force. "Now even ministers stop at red lights. The system has made our work easier and safer."
With smart lights changing every 30 to 40 seconds depending on traffic volume, both pedestrians and drivers report smoother commutes. Vehicle detector machines installed alongside the system feed real-time data to a central server, ensuring adaptive control based on actual road usage. Lalitpur authorities plan to expand the system to Gwarko, Balkhu, and Satdobato later this year.
In stark contrast, Kathmandu is still mired in manual traffic control. Of the 67 traffic light systems installed in the valley, only 42 are functional, with 25 remaining inoperative. Most of these systems use outdated technology, unable to adapt to fluctuating traffic loads. As a result, key intersections like Koteshwor, Kalanki, Chabahil, and Tripureshwor often see police waving hands to manage chaotic vehicle movement.
"We deploy over 1,700 traffic police officers daily just to control traffic in the valley," said Superintendent Deepak Giri of the Valley Traffic Police Office. "Technology would provide a more efficient and reliable solution if implemented properly."
Plans by the Department of Roads to install intelligent traffic systems in Kathmandu have stalled for over two years. Even a proposal to expand push-button pedestrian crossings near schools and colleges has seen limited progress.
Department spokesperson Engineer Prabhat Kumar Jha confirmed that studies are underway to introduce AI-enabled traffic systems nationwide. However, no clear timeline has been provided for execution.
The disparity between Lalitpur and Kathmandu underscores a broader issue in Nepal’s urban development: the uneven adoption of smart technologies, despite growing traffic pressure and public demand for efficient mobility systems.
As Kathmandu continues to delay modernization, Lalitpur’s model provides a live demonstration of how data-driven infrastructure can transform urban living—reducing accidents, saving time, and making the city more livable for all.
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