FAA Launches SMART AI Tool to Predict Delays Before Takeoff

The Federal Aviation Administration has begun testing a new artificial intelligence driven system designed to spot delay risks before aircraft ever leave the gate, a shift that aims to move U.S. air traffic management from reacting to congestion to preventing it.

What the FAA rolled out and where it is being tested first

The new tool is called Strategic Management of Airspace, Routes and Trajectories, or SMART. Published coverage and FAA materials describe it as a predictive platform that brings together a wide set of operational inputs to anticipate when demand will outstrip capacity, then recommend earlier adjustments to schedules and trajectories.

The initial test is focused on the Washington, D.C., region, with early implementation tied to flights involving Ronald Reagan Washington National, Washington Dulles International, and Baltimore Washington International Thurgood Marshall airports. Reports describe the rollout as a soft launch that is intended to expand gradually to additional parts of the country.

SMART is positioned as a decision support layer rather than an automated replacement for controllers. The system’s role is to surface conflicts earlier in the planning timeline, when changes to departure times or routing can be less disruptive than last minute ground stops, airborne holding, or diversions.

How SMART predicts delays before departure

Public FAA descriptions say SMART centralizes roughly 200 data streams into one platform, combining signals such as weather patterns, flight paths, traffic flow conditions, airport capacity constraints, and controller staffing metrics. The premise is that delay causes rarely arrive one at a time: weather, runway configuration changes, traffic management initiatives, and staffing constraints can compound quickly across a region.

Rather than waiting for queues to form, the system is designed to forecast congestion and schedule conflicts on longer horizons, ranging from hours to days and, in some cases, weeks ahead. That forward view matters because airlines and the FAA can often manage demand more efficiently before aircraft are boarded and pushed back, when gate holds and missed connections become harder to avoid.

SMART also fits into a broader modernization arc that increasingly relies on data sharing and collaborative decision making. Travelers are familiar with the results of today’s traffic management programs through tools like ground delay programs that assign controlled departure times for affected flights. The FAA’s concept with SMART is to improve the quality and timing of those interventions so fewer flights end up stuck in late stage bottlenecks.

FMDS, the aging legacy system it replaces, and the vendor behind the project

SMART is tied to a larger FAA technology shift: Flow Management Data and Services, or FMDS. The FAA has described FMDS as the replacement for the legacy Traffic Flow Management System, an older platform that has long served as a backbone for nationwide flow management but is being retired in favor of a system built for today’s data volume and operational complexity.

According to FAA announcements, Air Space Intelligence has been selected to deploy both FMDS and the SMART capability within it, under a long term contract. Published coverage has characterized the approach as leveraging commercially proven technology rather than building every component from scratch, an attempt to accelerate deployment compared with traditional multi year modernization timelines.

For travelers, the practical takeaway is that the AI layer is not a standalone app that changes a single flight by itself. It is part of an infrastructure upgrade that is meant to improve how the FAA’s command center and partners anticipate constraints and coordinate responses across airlines, airports, and air traffic facilities.

What it could change for passengers, and what it will not do

If the system works as intended, travelers could see fewer day of travel surprises driven by cascading disruptions, including long tarmac waits, extended taxi times, and airborne holding on arrival. The strategic goal is to reduce the number of situations where too many flights are scheduled into airspace or airport capacity that cannot realistically handle them under prevailing conditions.

However, the shift toward earlier intervention also means some delays may be pushed earlier in the process, appearing as pre departure schedule changes or longer planned connection times, rather than as unpredictable holding patterns later in the day. From a passenger standpoint, that could feel different even if the total delay minutes decrease, because the disruption may be communicated earlier and in more structured ways.

The system also does not eliminate the underlying causes of delays, particularly severe weather, equipment outages, runway closures, or staffing constraints. What it can do is help decision makers see risk sooner and choose options that spread demand more evenly, potentially reducing the most extreme peaks of congestion that ripple across a region.

For now, the biggest question is pace and scale. The FAA’s first focus is a limited regional test, and any nationwide impact depends on how quickly the tool is expanded, how it integrates with existing traffic management procedures, and how consistently airlines and facilities use the forecasts to make earlier adjustments.