Jakarta, INTI – Amid increasingly complex traffic congestion in urban areas, a new innovation began its trial on Saturday, November 15, 2025, in the Pasteur area of Bandung City. The Bandung Transportation Agency (Dishub) introduced an artificial intelligence (AI)-based traffic light system as a solution to manage the growing volume of vehicles, especially during peak hours. This technology is claimed to automatically adjust green and red light durations based on the length of vehicle queues. The trial, which has been running for nearly two months, marks an initial step toward finding a more efficient mobility solution for the public.
Testing in One of the Busiest Traffic Areas
Head of the Bandung Transportation Agency, Rasdian, explained that the Pasteur area was chosen as the initial test location due to its high traffic density. During peak hours, the road section often experiences long queues, making it necessary to adopt a more adaptive traffic light system.
He noted that the AI-based traffic lights are still in the trial phase and will be continuously evaluated. Throughout the testing period, the system operates automatically without relying on fixed timing settings like conventional traffic lights.
Traffic Lights Adjust Automatically Based on Vehicle Conditions
Rasdian stated that the AI technology enables the traffic lights to “make decisions” based on real-time conditions on the ground. If vehicle queues are long, the system will immediately switch the light to green. Conversely, if the green light is on but traffic has already cleared, the AI will change the light to red to optimize flow.
Through this mechanism, traffic management is expected to become more responsive, significantly reducing vehicle waiting times.
Ongoing Evaluation and Expansion Potential
Although still in its trial stage, Rasdian emphasized that the agency cannot yet determine the technology’s level of effectiveness. However, if results show significant improvements, the Transportation Agency plans to expand the system to other areas with severe traffic congestion.
Several potential locations include Kiaracondong, the area around the Samsat office, and the eastern part of Bandung, which often experiences long queues during morning hours.
Conclusion
The trial of AI-based traffic lights in Pasteur marks an early step for Bandung City toward a more modern, adaptive, and efficient traffic management system. If evaluations show promising results, this technology has strong potential to become a strategic solution for reducing congestion at various intersections across the city.
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