Aurora

Predictive ATC Interface

Human-AI collaboration where seconds matter.

The Core Problem

Controllers make split-second, safety-critical decisions all day. Predictive AI can forecast conflicts, optimize sequencing, and anticipate weather impacts — but it’s useless if it can’t be trusted, understood instantly, or overridden under pressure. I redesigned the system as a predictive workspace — surfacing future conflicts, prioritizing risks, and embedding AI guidance directly into the controller’s primary view.

Air traffic control runs at its limits.

Time-critical decisions across separation, sequencing, weather, and coordination — yet legacy tools only show what’s happening now, forcing reactive action.

In Aurora, conflicts appear directly on the radar as projected paths and crossing points. Instead of abstract alerts, predictions live inside the map controllers already use — supporting their mental model rather than interrupting it, and saving precious seconds under pressure.

From reactive monitoring to predictive assistance.

AURORA introduces forecasted conflict detection, ranked resolution options, and transparent AI recommendations — without removing human authority.

AI assists. Humans decide.

Each recommendation clearly displays its confidence level and underlying logic, with full manual override available at all times.The controller retains final decision authority.