Airspace Simulation for 4D UAS and ATM Conflict Verification
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Solution Overview
Problem
Current air traffic management systems are unable to rapidly analyze and provide safe trajectories for drones, leading to the segregation of drone airspace, which limits the integration of unmanned and manned aircraft in congested airspace.
Innovation Solution
A system and method that integrates unmanned aircraft systems (UAS) traffic management (UTM), advanced air mobility (AAM), and conventional air traffic management (ATM) to simulate and optimize four-dimensional flight trajectories, considering multiple flight intent inputs, constraints, and potential conflicts to ensure safe and efficient airspace operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional air traffic control systems are used with human controllers, then safety supervision can be provided, but the analysis speed is too slow to provide safe trajectories to drones in feasible time
Solution Approach 1:
The patent replaces the mechanical system of human air traffic controllers with an automated electronic system comprising a simulation module and conflict detection module. This automated system processes drone trajectory data and detects potential conflicts computationally, achieving both high-speed analysis and reliable safety supervision without human intervention delays.
2Reliability
If airspace is segregated for drones, then safe drone navigation can be ensured, but integration of unmanned and manned aircraft in congested airspace is limited
Solution Approach 1:
The patent creates a universal conflict detection system that handles both drone-only and mixed airspace scenarios. The simulation module generates trajectories and the conflict detection module identifies potential conflicts regardless of whether the airspace contains only drones or both drones and manned aircraft, enabling the system to adapt to different airspace configurations and integration levels.
3Productivity
If automated UTM systems are implemented, then fast trajectory generation is achieved, but comprehensive conflict detection and constraint verification become complex
Solution Approach 1:
The patent segments the air traffic management system into distinct functional modules: a simulation module for generating four-dimensional trajectories, a conflict detection module for identifying potential conflicts, and a constraint verification module for ensuring regulatory compliance. This segmentation allows each module to perform its specific function efficiently while reducing overall system complexity through modular design.
Data Source
AI summary
Generally discussed herein are systems, apparatuses, and methods for simulating an airspace including a method that receives a plurality of flight intent data inputs from a plurality of sources including service suppliers of unmanned aircraft systems (UAS) traffic management (UTM), advanced air mobility (AAM) and conventional air traffic management (ATM). The plurality of flight intent data inputs include, UTM flight intent volumes, UTM flight intent trajectories, conventional flight plans, conventional flight trajectories and an airspace design configuration. The method includes generating a center line route corresponding to each of the plurality of flight intent data inputs; generating a flight volume for each the plurality of flight intent data inputs; generating a four-dimensional trajectory based upon the center line route and the flight volume; and verifying the four-dimensional trajectory against constraints and potential conflicts.


