Dynamic Air Traffic Management for Intent-Aware Collision Avoidance
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Solution Overview
Problem
Current air traffic management systems fail to effectively prevent mid-air collisions, especially in densely populated airspace where pilots may lose visual contact or misjudge the proximity of other aircraft, leading to increased risks of collisions between manned and unmanned aircraft, and between different types of flying platforms.
Innovation Solution
An autonomous dynamic air traffic management (ADATM) system that includes a transceiver unit onboard flying platforms, equipped with positioning sensors and transceivers to communicate location data and determine flight patterns, which can distinguish between intentional and unintentional flight paths, and generate evading actions to prevent collisions by adjusting safety cylinders and issuing instructions to pilots or overriding flight controls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS-based air traffic control systems are used to track aircraft locations, then aircraft positioning accuracy is improved, but the system cannot distinguish between intentional close flight patterns (like formation flying) and unintentional collision risks
Solution Approach 1:
The system dynamically adjusts the safety cylinder dimensions based on detected flight patterns. When formation flying is detected, the safety cylinder radius is reduced to allow closer proximity. When collision risk is detected, the safety cylinder expands to prevent contact. This dynamic adaptation resolves the contradiction by making the safety margin flexible rather than fixed.
Solution Approach 2:
The system changes the parameter of safety cylinder radius based on flight pattern classification. By analyzing relative position, velocity, and acceleration data, the system modifies the safety parameter adaptively - reducing it for intentional formation flights and increasing it for unintentional collision scenarios, thus resolving the inability to distinguish between different flight intentions.
2Ease of operation
If fixed safety cylinders are used around aircraft to prevent collisions, then collision avoidance is simplified, but the system generates false alarms when aircraft fly close in intentional formation patterns
Solution Approach 1:
The safety cylinder transitions from a static fixed radius to a dynamic adaptive radius that changes based on flight pattern detection. The system maintains operational simplicity through automated pattern recognition while improving reliability by adjusting safety margins contextually - reducing false alarms during formation flights while maintaining protection during collision risks.
Solution Approach 2:
The system implements feedback by continuously monitoring aircraft relative motion and adjusting safety cylinder dimensions accordingly. Flight control entities receive feedback about detected formation patterns, allowing the system to distinguish intentional close proximity from collision risks, thereby reducing false alarms while maintaining collision avoidance effectiveness.
3Loss of time
If autonomous collision avoidance systems are implemented on unmanned aerial vehicles, then reaction time is improved, but the systems lack coordination when multiple platforms are flying in proximity
Solution Approach 1:
The system merges individual autonomous collision avoidance capabilities with centralized coordination through flight control entities. Multiple ADATM units exchange location data and coordinate their safety cylinders, allowing fast autonomous reaction while maintaining multi-platform coordination. The centralized flight control entities synthesize information from multiple sources to manage complex multi-aircraft scenarios.
Solution Approach 2:
The ADATM system is designed to be universal, working across different types of flying platforms (manned and unmanned aircraft, drones, helicopters). The system handles both individual autonomous operation and coordinated multi-platform scenarios, providing versatile collision avoidance that adapts to various flight configurations and platform types.
4Reliability
If density control is implemented to limit the number of aircraft in specific zones, then collision risk is reduced, but flight efficiency and airspace utilization decrease
Solution Approach 1:
The system replaces static density control limits with dynamic safety cylinder adjustments. Instead of arbitrarily limiting aircraft numbers in zones, the system adaptively adjusts safety margins based on real-time flight patterns and relative motion. This allows higher airspace utilization while maintaining collision risk reduction through context-aware safety management.
Data Source
AI summary
A system and method for autonomous dynamic air traffic management. The method includes sensing a current location of a flying platform using at least one of a plurality of positioning sensors onboard the flying platform, transmitting location transmissions and receiving location transmissions from other flying platforms, determining from the received location transmissions and the sensed current location whether the flying platform and another flying platform are flying in a mutually intentional flight pattern or in a mutually unintentional flight pattern, based on one or more indications; refraining from alerting when the flying platform and the other flying platform fly close to each other within a predetermined range when flying in a mutually intentional flight pattern; detecting a risk of collision between the flying platform and said another of said one or a plurality of flying platforms; and generating an evading action instruction for the flying platform to avoid the collision.