Aircraft Ground Control TRIZ Cases

Filters erroneous transponder positions by identifying aircraft paths and movement phases to generate accurate airport operational data.

Dual ADS-B and lidar type checks plus distance-based speed and display guidance help aircraft stop smoothly and accurately at the stand.

Real-time AMMF updates combine taxi clearance, aircraft position, and hold stop proximity to improve pilot taxi awareness and routing safety.

A W-band sensor and ADS-B receiver combine surface traffic detection with obstacle awareness for safer, more automated aircraft taxiing.

Predicts potential collision zones using historical navigation route data to maintain situational awareness when aircraft transponders are powered down.

Real-time taxi edge monitoring generates congestion factors that reduce collision risk while increasing airport throughput.

A system automatically identifies optimal taxi routes between non-intersecting paths using a graph data structure.

Processing device determines full-stop location and distance to ground traffic using ADS-B data, generating alerts when separation falls below safe limits.

Predicts potential aircraft conflicts on taxiways using real-time positioning data to enhance crew situational awareness.

A voice-activated heads-up display system manages proximate aircraft targets through spoken commands.

Aircraft taxi predictor calculates fuel savings from reduced-engine operations to guide pilot decisions.

An integrated tracking system merges GPS receiver data with ADS-B inputs to resolve the complexity of equipping ground vehicles with full position awareness.

Dynamic steering parameter adjustment using runway state and weather data minimizes transverse excursion risk during degraded ground operations.

Predictive proximity alerts calculate future aircraft positions and account for rapid directional changes on airport surfaces to prevent runway collisions.

Transmitting GPS coordinates on airfield voice frequencies provides accurate aircraft positioning, reducing reliance on unreliable visual sightings.

Predicting aircraft path via ground speed and heading reduces false collision alerts by filtering objects outside the predicted trajectory.

Radar sensor modules on aircraft surfaces detect ground obstacles and transmit return signals to a central processing unit.