Multiple Aircraft Traffic Management TRIZ Cases

Flight path analysis identifies weather data gaps and dispatches drones to uncovered regions, expanding coverage for forecasting models.

Encoded light from structure-mounted smart lights gives aircraft near real-time obstruction and weather data without relying on stale onboard databases.

A trained navigation model uses airport layout and aircraft sensor data to choose taxi routes that cut fuel use and brake wear.

Scanning LiDAR on landing gear creates real-time 3D ramp views, helping pilots avoid collisions during independent electric taxiing.

System merges historical and real-time occupancy data to generate optimized taxiway routes, reducing delays caused by fragmented information.

Computerized air traffic control system classifies aircraft interactions using dual proximity tests to resolve throughput versus safety trade-offs.

Automated UAS traffic management system coordinates unmanned aerial vehicles in uncontrolled airspace below 10,000 feet to prevent mid-air collisions.

A UTM server assigns conflict potential values to 3D grid cells to guide unmanned aerial vehicle trajectory adjustments.

A movement-measurement system maps 3D period information onto a 2D plane using projection matrices to identify peripheral aircraft.

A movement state presentation device displays current and predicted future positions of moving objects sequentially on a display unit.

A UTM system converts diverse UAS flight plans into a common format for real-time conflict detection.

Automated disruption determination unit processes flight schedule updates to identify operational delays.

Mesh sensors measure wake vortex vertical drift to calculate dynamic separation intervals, reducing congestion caused by broad size-based categories.

A congestion detection apparatus calculates predicted flight arrivals to adjust aircraft loading and navigation plans.

An operation management apparatus estimates surrounding environments and calculates energy requirements for movable bodies.

Ground-based detection system integrates FAA and DOD radar inputs to generate standardized collision alerts for uncrewed aircraft operations.

An aircraft computer calculates revised takeoff times using real-time position and performance data to correct inaccurate departure schedules.

Autonomous separation unit generates target vectors from penetration airspace centroids to direct air taxi trajectories.

A communications management system segments user requests into individual messaging profiles to process data retrieval operations independently.

A distributed flight route management system combines onboard and ground processing to generate dynamic situation models for aircraft.

A holding pattern detection system identifies aircraft turns to predict diversions and recommend alternative destinations.

A voice transcription system renders ATC messages and relevant ATIS data on a unified interface.

Constraint satisfaction solvers generate verifiable flight plans, enabling independent third-party verification of conflict resolution outcomes.

A flight deck system overlays controller to pilot data link communication messages onto situational awareness displays.

A configuration unit maps UAS registration data to multiple service suppliers, enabling seamless handover between instances during flight.

An independent trajectory conformance monitor anticipates aircraft deviations from a reference business trajectory.

A linear inequalities solver configures homogeneous systems to reduce maximum and sum infeasibility.

A common interface system receives and transmits data between unmanned traffic management networks and traditional air traffic control communications.

Mathematical optimization shifts vehicle trajectories to generate realistic training data without time-consuming collection.

A decision assistance device applies a recurrent autoencoder to reduce airspace dimensionality for conflict resolution.

A system generates flight plans for unmanned aerial vehicles by analyzing three-dimensional airspace voxels and their associated parameters.

Segmenting the center into independent stations allows operators to prioritize critical aircraft while maintaining continuous support for other flights.

Automated system detects clearance discrepancies by comparing conversational contexts between aircraft communications.

A hierarchical cloud architecture consolidates unmanned aircraft flight data across distributed server levels.

A drone coordination system transmits emergency return requests to autonomous aircraft based on their current location.

A ground station system sends meteorological and 4-D position data to compute wake vortex parameters for aircraft sequencing.

A control station manages multiple unmanned aircraft using high assurance routers to identify and forward flight-critical status data.

A computing device provides an integrated display for airfield traffic status management, allowing users to view aircraft arrival and departure analyses graphically.

A schedule management system computes cost-efficient trajectory alterations using onboard flight data and ground-based decision support tools.

An avionics computer queries a datalink applications database to determine airport equipment status.

Electronic flight strip system monitors aircraft position data against geofenced airport areas to generate immediate visual and aural warnings.