DOT Launches AI-Powered SMART Air Traffic System to Cut Delays

The U.S. Department of Transportation and the Federal Aviation Administration have begun limited operations of a new AI-assisted air traffic management platform called SMART, a debut that published coverage describes as an attempt to shift the national airspace system from reacting to disruptions to predicting them before they cascade into widespread delays and cancellations.

What SMART is, and where it is going live first

SMART stands for Strategic Management of Airspace, Routes and Trajectories. Publicly available DOT materials describe it as a decision-support platform designed to pull together roughly 200 data streams, including weather, flight paths, traffic flow, airport capacity, and controller staffing metrics, and then present an integrated picture of where congestion is likely to occur.

According to DOT, the FAA began using SMART in a limited mode on Monday, September 21, 2026, focused on the airspace around Washington, D.C. The rollout is planned to expand gradually to other parts of the country over the next few months, a staged approach intended to limit operational risk while the new tools are validated in real-world conditions.

The FAA’s published fact materials characterize SMART as cloud-based and AI-supported, with continuous updates as conditions change. The core promise is earlier detection of conflicts in schedules and capacity constraints, so traffic management moves can happen hours, days, or even weeks earlier than today’s typical day-of operations.

How the system is supposed to reduce delays and cancellations

DOT’s description of the current problem centers on built-in congestion. Thousands of daily flights can be scheduled into the same airspace and airport arrival banks, even when demand exceeds capacity. Weather, runway impacts, and other constraints can then shrink capacity further, forcing last-minute reroutes and flow restrictions that ripple across the network.

SMART is positioned as a way to forecast those pinch points earlier and recommend schedule and routing adjustments before aircraft leave the gate. FAA fact sheets describe the system as using AI to analyze schedules, weather, airport capacity, airspace conditions, and operational constraints to predict traffic flows and identify potential conflicts before they occur, with continuous refreshes as new information arrives.

For travelers, the immediate effect DOT is highlighting is fewer tarmac holds, fewer airborne holding patterns, and fewer diversions that can trigger missed connections and aircraft and crew displacement. The agency is also pointing to more efficient routing around convective weather and congestion, an operational change that can reduce fuel burn when it prevents long detours or extended holding.

What SMART will not do: controllers stay in charge

Public DOT materials emphasize that SMART is not an automated air traffic control system and does not take over control of aircraft. Instead, it generates recommendations that remain subject to human review.

In DOT’s description, recommendations are reviewed by FAA staff, and local leadership at air traffic control facilities can choose whether to accept or pass on scheduling suggestions. That distinction matters because it frames SMART as a planning and coordination tool rather than a replacement for separation services provided by controllers.

FAA materials similarly describe SMART as enhancing existing air traffic management systems by creating a shared, data-driven view before flights depart. In that framing, the AI component is intended to improve prediction and planning, while real-time tactical control remains a human responsibility.

Who built it, and how it fits into a larger modernization push

DOT and FAA materials describe SMART as part of a broader modernization package that includes Flow Management Data and Services, or FMDS. FAA coverage indicates FMDS is intended to become a new backbone for the FAA’s command center data and traffic flow management, with SMART described as an enhancement within that framework to coordinate schedules and trajectories earlier.

The FAA has publicly named Air Space Intelligence as the partner selected to deploy the technologies behind FMDS and SMART. DOT has also described a new or upgraded air traffic center being developed to support a staged rollout, beginning in the National Capital Region.

Published reporting has underscored why modernization is being pushed now. A recent AP report about technical problems affecting flights in the U.S. Northeast noted that aging infrastructure is already being targeted for replacement as part of a larger overhaul, and it also referenced an FAA test of an AI-enabled system around Washington, D.C. that aims to predict schedule conflicts and weather issues, indicating multiple efforts are converging on more predictive traffic management.

What travelers should watch next as rollout expands

For passengers, the most practical question is where the tool expands beyond Washington-area airspace and whether measurable performance improvements follow in corridors that routinely produce network-wide knock-on delays. DOT’s public timeline points to expansion over the next few months, with early operations beginning in fall 2026.

Travelers may also see SMART’s impact most clearly during disruption-prone periods such as summer thunderstorms, winter storms, and peak holiday travel, when demand is high and weather reduces usable airspace. If predictive planning can reduce the volume of last-minute reroutes and holding, the downstream effect would typically be improved on-time performance and fewer aircraft and crew timing issues that can drive cancellations later in the day.

At the same time, recent outages and infrastructure disruptions highlighted in published coverage underscore that software tools alone cannot prevent all delay causes. As the FAA pairs new predictive platforms with hardware and telecom upgrades, the near-term story for travelers is likely to be incremental improvement corridor by corridor, with the biggest benefits depending on how quickly the tools scale and how effectively they integrate into daily traffic management routines.