Case Study

22% Accuracy Improvement

Problem

The National Airspace System (NAS) is experiencing unprecedented strain, caught between escalating air travel demand and increasingly complex operational challenges. Airline network managers and FAA traffic flow managers are trapped in a reactive cycle, constantly struggling to manage a system pushed to its operational limits.

Airline operations centers are stuck playing catch-up as uncertainty creates immediate delays and triggers cascading disruptions across the network, amplifying inefficiencies and costs for airlines and passengers alike.

Solution

4D Prediction and Simulation: PRESCIENCE is a sophisticated early warning system for airlines. The platform integrates over 100 data sources—including FAA SWIM, CoSPA, and ADS-B—to create a comprehensive and accurate 4D digital twin of the NAS. By combining real-time and historical data on air traffic, weather patterns, aircraft performance, and surface conditions, PRESCIENCE's prediction models provide an evolving, high-fidelity view of the airspace, encompassing both current conditions and future states. The system predicts potential bottlenecks and disruptions before they occur, equipping network managers with a powerful tool to anticipate and prevent problems.

Downstream Visibility: By predicting how air traffic demand might exceed available capacity, PRESCIENCE helps airlines make smarter decisions. Critically, the system allows operators to simulate different scenarios, revealing how a decision might ripple through the entire network. This enables network managers to visualize potential consequences of their choices before implementing them, dramatically reducing the risk of costly mistakes.

Synchronized and Collaborative Decision-Making: PRESCIENCE creates a unified platform with a single source of truth connecting network directors, ATC chiefs, airport station directors, and other airline staff. It delivers a common operating picture, fostering a synchronized understanding of operational constraints, limitations, and disruption mitigation strategies.

Together, these components enable airlines to overcome the limitations of legacy systems, adapt to ever-changing conditions, and achieve superior operational performance.

Result

PRESCIENCE generated 22% more accurate traffic demand predictions compared to legacy systems of record, enabling optimized traffic management initiatives.