UAV Traffic Corridor Routing With Dynamic Waypoint Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current infrastructure lacks the necessary systems and methods for safe and efficient management of low-altitude UAV traffic, particularly in integrating UAVs into existing airspace, leading to challenges in collision avoidance, traffic congestion, and accountability.
Innovation Solution
A network of waypoint computing devices connected by traffic corridors that dynamically updates based on initiate and suspend calls, determining optimized flight plans for UAVs using network performance parameters such as hop count, speed, congestion, and latency to ensure efficient traffic flow and collision avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a network of waypoint computing devices with traffic corridors is implemented, then UAV traffic management efficiency is improved, but system complexity increases
Solution Approach 1:
The airspace is segmented into discrete traffic corridors connecting waypoint computing devices, creating a structured network that manages UAV traffic efficiently while maintaining organized system complexity through modular segmentation
Solution Approach 2:
The network dynamically updates by adding or removing waypoint computing devices and traffic corridors based on initiate and suspend calls, allowing the system to adapt to changing traffic conditions while maintaining efficient UAV management
2Productivity
If dynamic network updates are implemented based on initiate and suspend calls, then traffic flow optimization is improved, but computational requirements increase
Solution Approach 1:
Flight plans are determined in advance using cost vector calculations that pre-compute optimal routes through the traffic corridor network, reducing real-time computational requirements while maintaining traffic flow optimization
Solution Approach 2:
The system uses cost vectors that incorporate network performance parameters (hop count, speed, congestion, latency) to dynamically adjust flight plans based on current traffic conditions, optimizing flow while managing computational load through feedback-driven decisions
3Reliability
If cost vector-based routing algorithms are used, then collision avoidance is improved, but processing time increases
Solution Approach 1:
The system pre-calculates cost vectors for all possible routes through the traffic corridor network, storing these calculations in advance so that flight plan determination can quickly reference pre-computed data rather than performing complex real-time calculations
Solution Approach 2:
The patent replaces complex real-time collision detection and avoidance calculations with a simplified routing algorithm that uses pre-computed cost vectors to determine safe flight paths, reducing processing time while maintaining collision avoidance reliability
Data Source
AI summary
Systems and methods are disclosed for traffic management for unmanned aerial vehicles (UAVs). The systems and methods define a network of waypoint computing devices having traffic corridors connecting the waypoint computing devices. Systems and methods receive suspend calls and initiate calls from waypoint computing devices and dynamically update the network so as to include additional waypoint computing devices and traffic corridor connections based on the initiate calls and to remove from the network waypoint computing devices and associated traffic corridors based on the suspend calls. The systems and methods determine a flight plan for the UAV in response to a request based on the updated network. The flight plan includes a plurality of traffic corridors connecting source and destination global coordinates included in the request. The systems and methods provide a response to the UAV including the flight plan.