Dynamic Flight Path Generation Using Mesh Nodes for Collision Avoidance
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Solution Overview
Problem
Air traffic management in high density traffic scenarios faces challenges due to static flight path planning that does not accommodate real-time changes in aircraft locations and velocities, potentially leading to mid-air collisions.
Innovation Solution
A dynamic aircraft flight path generation system that includes a flight management system, communication circuit, and onboard display device, which uses a two-dimensional mesh plane to identify closest nodes and allocate weights based on neighboring aircraft data to generate a modified flight path, displayed on an onboard display device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static flight path planning is used, then flight path simplicity and ease of operation are improved, but air traffic safety and adaptability to real-time changes deteriorate
Solution Approach 1:
The system transitions from static flight path planning to dynamic flight path generation that continuously updates based on real-time aircraft positions, velocities, and traffic conditions. The controller dynamically calculates and modifies flight paths to prevent mid-air collisions while maintaining operational simplicity through automated decision-making.
2Reliability
If dynamic flight path adjustment is implemented, then air traffic safety and collision avoidance are improved, but system complexity and computational requirements worsen
Solution Approach 1:
The flight path is divided into discrete segments or waypoints that can be independently adjusted. The system processes aircraft data in discrete time intervals and updates specific portions of the flight path rather than recalculating the entire path, reducing computational complexity while maintaining safety.
Solution Approach 2:
The system automatically generates and adjusts flight paths using onboard sensors and communication data without requiring constant human intervention. The controller self-regulates by processing real-time information and making autonomous decisions to avoid collisions, reducing operational complexity.
3Adaptability or versatility
If real-time flight path updates are performed, then adaptability to changing traffic conditions is improved, but processing time and computational energy consumption worsen
Solution Approach 1:
The system performs flight path calculations at periodic time intervals rather than continuously. This allows the system to respond to real-time changes while reducing peak computational demands and energy consumption by batching processing operations into discrete update cycles.
Data Source
AI summary
A current flight path of an aircraft is defined with respect to a two-dimensional mesh plane including a first plurality of nodes. Each node is associated with a pre-designated location. First, second, and third nodes that are the closest to a current aircraft location are identified. Neighboring aircraft data associated with neighboring aircraft disposed within a pre-defined distance of the aircraft is received. The neighboring aircraft data includes a neighboring aircraft location for each the neighboring aircraft. First, second, and third node weights are allocated to the first, second, and third nodes based in part on the pre-designated locations of the first, second, and third nodes with respect to the neighboring aircraft locations. A modified flight path based at least in part on the first, second, and third node weights is generated for display as a suggested flight path on an onboard display device.