The Bangkok Metropolitan Administration (BMA) is expanding its adaptive traffic control programme to 50 additional intersections in 2026, building on measurable congestion improvements recorded across 74 junctions already equipped with AI-driven signal technology.
From Fixed Timers to Real-Time AI Adjustments
Since 2024, the BMA has replaced legacy fixed-cycle traffic lights at 74 intersections with an adaptive control system that uses AI-enabled CCTV cameras to monitor vehicle volumes and automatically calibrate red and green phases in real time. The technology addresses a structural inefficiency that has long plagued Bangkok’s road network: the majority of the city’s 578 signalised intersections still operate on preset timing schedules that cannot respond to shifting traffic patterns throughout the day.
Under the previous regime, motorists frequently sat through red lights with no opposing traffic, while green phases ran regardless of whether vehicles were present. Adjustments to signal timing required personnel to travel to individual junctions and modify settings manually. The new system eliminates that bottleneck by continuously analysing camera feeds, extending green phases when queues build and shortening them when lanes clear.
Measurable Impact Across Major Corridors
The BMA’s initial performance assessment shows the adaptive system has reduced travel times by between 10% and 41% at equipped intersections, depending on corridor conditions and traffic volume. The upgraded junctions cover some of Bangkok’s most congestion-prone arterials.
A particularly notable result has been observed at the Phra Khanong and Sukhumvit 71 (Pridi Banomyong) junctions, where the adaptive system halved signal cycles from approximately 12 minutes down to six, substantially reducing waiting times at one of the Thai capital’s most notorious bottlenecks.
Infrastructure Breakdown: Where Bangkok Stands Today
Bangkok currently oversees 746 intersections in total. Of these, 168 have no traffic signals at all, while the remaining 578 are managed by some form of signal control. Within that signalised network, 433 junctions still rely on fixed-time presets, and 71 use an older adaptive loop-detector system. The 74 intersections upgraded to the new AI-based adaptive control represent roughly 13% of the city’s signalised intersections, a figure set to grow with the planned 50-junction expansion this year.
Google’s Project Green Light Adds a Second AI Layer
Bangkok’s own adaptive control programme operates alongside a separate initiative launched in February 2025 in partnership with Google. Under Project Green Light, Google uses AI and aggregated driving trend data from Google Maps to analyse signal timing across hundreds of Bangkok intersections and propose optimisation recommendations to BMA traffic engineers.
Early results from Project Green Light suggest a potential 30% reduction in unnecessary stops and a 10% decrease in intersection-level emissions. Bangkok is one of 18 cities globally participating in the pilot, alongside Bangalore, Haifa, and Hamburg. This dual approach positions the Thai capital as one of the more active testbeds in Southeast Asia for AI-driven traffic management, combining locally deployed camera-based intelligence with cloud-level data analytics.
A City Under Pressure: Bangkok’s Congestion Context
The investment in adaptive signal technology comes against a backdrop of persistent gridlock. According to the TomTom Traffic Index, Bangkok motorists lost approximately 115 hours to congestion in 2025, placing the city among the top 10 most congested urban areas worldwide. The INRIX 2025 Global Traffic Scorecard ranked the city 13th globally, with drivers losing 76 hours annually. Multiple agencies share responsibility for Bangkok’s road management, a fragmentation that has historically complicated coordinated infrastructure upgrades.
The economic toll is considerable. Research published in academic journals has estimated that transport-related externalities, including congestion, pollution, and accidents, burden Bangkok’s economy by as much as 7% to 10% of gross regional product. Road transport is also a primary contributor to the city’s PM2.5 air pollution, accounting for roughly 73% of fine particulate emissions in the metropolitan region according to emissions inventory data.
Broader Market Trends in Adaptive Traffic Control
Bangkok’s programme aligns with a global acceleration in adaptive signal deployments. The global adaptive traffic control system market was valued at approximately $7 billion in 2025, according to The Insight Partners, and is projected to reach $23 billion by 2030 at a compound annual growth rate of roughly 19.7%. Asia-Pacific is expected to be the fastest-growing region, driven by rapid urbanisation, rising vehicle ownership, and government investments in smart city infrastructure.
Cities such as Barcelona have announced similar AI-powered traffic light initiatives targeting a 20% reduction in congestion through sensor-based real-time signal adjustment. Meanwhile, Amsterdam abandoned its smart traffic light programme after the Dutch Data Protection Authority raised concerns about privacy and cybersecurity risks, highlighting that the regulatory and public trust challenges around intelligent traffic systems remain unresolved in many jurisdictions. In North America, Toronto has piloted 5G-powered AI traffic management at select intersections, with early trials showing reductions in both vehicle and pedestrian delays.
What Comes Next for Bangkok
The planned expansion to 124 total adaptive intersections in 2026 would bring roughly 21% of Bangkok’s signalised network under AI control. Governor Chadchart Sittipunt has signalled broader ambitions, with earlier statements referencing a target of 200 upgraded intersections by the end of 2026. If achieved, that figure would cover more than a third of the city’s signalised junctions.
Whether Bangkok can maintain its current pace of deployment will depend on several factors, including budget allocation, coordination among the city’s many transport-related agencies, and the ability to integrate the BMA’s own adaptive system with Project Green Light’s data-driven recommendations into a coherent operational framework. For now, the 10% to 41% travel time reductions recorded at the first 74 intersections provide a concrete performance baseline that few comparable municipal programmes in Southeast Asia have yet published.
