Trajectory Data System for Dynamic Aircraft Spacing
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Solution Overview
Problem
Current air traffic control systems face limitations in traffic volume due to conservative traffic spacing requirements, leading to departure delays, and are costly and labor-intensive due to reliance on ground-based navigational and surveillance systems.
Innovation Solution
A system that enables communication of trajectory data between ground-based facilities and aircraft, using a processor to generate and manage trajectory data, including actual, command, and predicted trajectories, to ensure safe and efficient aircraft spacing and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conservative traffic spacing requirements are maintained to ensure safety, then aircraft separation is guaranteed, but traffic volume is limited and departure delays increase
Solution Approach 1:
The system dynamically changes the spacing parameter between aircraft based on real-time trajectory data and environmental conditions. Instead of using fixed conservative spacing, the system adjusts separation distances according to actual aircraft performance, weather conditions, and predicted trajectories, allowing reduced spacing when conditions permit while maintaining safety
Solution Approach 2:
The system implements continuous feedback loops where aircraft position, velocity, and trajectory predictions are constantly monitored and fed back to the traffic management system. This real-time feedback enables dynamic adjustment of spacing requirements, allowing the system to maintain safety while optimizing traffic flow by reducing unnecessary conservative buffers
2Measurement precision
If ground-based navigational aids and surveillance radar systems are deployed to monitor aircraft, then aircraft position and trajectory can be tracked, but installation and maintenance costs increase significantly
Solution Approach 1:
The system replaces ground-based mechanical radar and navigational aids with satellite-based navigation (GPS/GNSS) and aircraft-mounted transponders. This substitution eliminates the need for expensive ground infrastructure while achieving comparable or superior tracking precision through space-based surveillance
Solution Approach 2:
Instead of using expensive ground-based radar to detect aircraft, the system uses aircraft-mounted transponders that actively transmit position and identity information. This copying approach shifts the detection capability from ground infrastructure to the aircraft themselves, reducing ground system costs
3Ease of operation
If ground-based control facilities with highly trained personnel are used to provide air traffic control, then real-time aircraft management is achieved, but labor intensity and operational costs increase
Solution Approach 1:
The system implements self-service capabilities where aircraft automatically file flight plans, report position and status, and receive automated clearances through computer-generated instructions. This reduces the need for manual controller intervention while maintaining effective real-time management
Solution Approach 2:
The system replaces human air traffic controllers with automated computer-based control systems that use algorithms to manage aircraft separation, sequence, and routing. This automation maintains real-time management capabilities while eliminating labor costs and associated operational expenses
4Reliability
If air routes are configured to extend between ground-based navigational aids, then aircraft can navigate along defined routes with terrain clearance, but route flexibility is reduced when NAVAIDS are non-operational
Solution Approach 1:
The system replaces dependence on ground-based NAVAIDS with satellite-based navigation (GPS/GNSS) that provides global coverage independent of ground infrastructure. This substitution maintains terrain clearance capabilities through digital elevation data while providing complete route flexibility since satellite navigation is not affected by ground facility status
Solution Approach 2:
The system implements dynamic route planning where flight paths can be continuously adjusted based on real-time conditions, aircraft performance, and weather. Instead of fixed routes between static NAVAIDS, the system generates adaptive trajectories that can change mid-flight, providing maximum flexibility while maintaining safety constraints
Data Source
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AI summary
Systems and methods for representing a flight vehicle in a controlled environment are disclosed. In one embodiment, a system comprises a communications link that extends between a ground-based facility and at least one flight vehicle operating within the controlled environment that is operable to communicate trajectory data between the ground-based facility and the at least one flight vehicle, and a processor configured to generate the trajectory data.