Friction forecasts
Predictive AI that keeps runways open
When weather or heavy rubber buildup blindsides a runway, the clock starts ticking: crews scramble, pilots divert, flights delay, and disruptions ripple out across the network.
Friction Forecasts turn that chaos into control. Leveraging data from 24M+ landings, our AI/ML models give airports, airlines, and pilots a shared predictive view of future runway conditions. Airports receive a forecast of expected braking action that can be used to optimize runway management before weather and other contaminants disrupt operations.
Confirm exactly how runways may perform in specific weather and contaminant scenarios.
Plan treatments before the next storm hits for fewer last-minute closures.
Return runways to service faster after treatments.
Give pilots science-based clarity on what braking performance to expect upon landing.
How it works
Stay ahead of every surface condition challenge
01: Forecast
02: Act
03: Improve
*
AST's ABARnet™ reporting network is self-learning, getting smarter with every new report.
forecast windows available as desired
2x
expected improvement in treatment efficacy
24M+*
recorded ABARs informing forecasts
Predict braking performance. Sharpen treatment procedures.
Uniform awareness
Pilots, airlines, ATC, and airports act from the same forward-looking forecasts of runway conditions — improving coordination and reducing last-minute surprises.
Continuous feedback
Trained on 24M+ recorded landings, AI-powered friction forecasts provide analysis that shows airports how effective their runway treatments have been, so they can refine their strategies over time.
Designed for leaders
Airlines already rely on AI for flight paths and maintenance. Now airports can extend that same foresight to runway management — where safety and operational excellence begin.
