Wireless UAV Traffic Control for Collision-Aware Delivery Routing
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Solution Overview
Problem
The proliferation of Unmanned Aerial Vehicles (UAVs) for delivery and other applications poses challenges for air traffic control, as existing systems are overwhelmed by the sheer number of drones and require efficient communication and collision avoidance mechanisms, especially in densely populated areas with numerous obstructions.
Innovation Solution
A drone air traffic control system using wireless networks to manage UAV flight paths, provide real-time collision avoidance, and integrate with existing infrastructure for efficient package delivery, including features like modified Inevitable Collision State (ICS) for predictive collision avoidance, elevator or tube lifts for drone takeoff, and network switchover for communication redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing air traffic control network is used for UAVs, then communication infrastructure is available, but the system becomes overwhelmed by the sheer quantity of UAVs
Solution Approach 1:
The patent segments the air traffic control system into multiple distributed controllers that manage specific geographic zones or groups of UAVs. Each controller handles a subset of UAVs independently, preventing any single point of failure and distributing the computational burden. This segmentation allows the system to scale with UAV quantity while maintaining reliability.
Solution Approach 2:
The patent introduces a hierarchical dimension to air traffic control, with multiple levels of controllers (local, regional, national) that operate at different scales. This dimensional approach allows simultaneous management of individual UAVs and large-scale traffic patterns, resolving the contradiction between handling individual reliability and system-wide complexity.
2Extent of automation
If UAVs operate autonomously with wireless network communication, then flight control communication is enabled, but collision avoidance becomes more difficult in densely populated areas
Solution Approach 1:
The patent implements preliminary collision avoidance by pre-calculating safe flight paths and no-fly zones before UAV deployment. The system预先 establishes geographic information system (GIS) data about populated areas, buildings, and restricted zones, enabling UAVs to autonomously plan routes that avoid potential collisions without real-time intervention.
Solution Approach 2:
The patent implements continuous feedback loops where UAVs report their position, speed, and status to air traffic controllers, who in turn provide real-time guidance and collision warnings. This closed-loop feedback system enables autonomous UAVs to dynamically adjust their flight paths to avoid collisions while maintaining efficient operation.
3Productivity
If more UAVs are deployed for delivery applications, then service coverage and productivity increase, but air traffic management complexity and communication requirements increase
Solution Approach 1:
The patent creates a universal air traffic control system that can simultaneously manage diverse UAV types (delivery drones, surveillance drones, recreational drones) using standardized communication protocols and control interfaces. This universality allows the system to scale to large numbers of UAVs without proportionally increasing management complexity, as the same infrastructure handles all UAV categories.
Solution Approach 2:
The patent dynamically adjusts communication parameters (data transmission frequency, resolution, priority levels) based on UAV density, flight phase, and risk level. In low-density areas, UAVs use reduced communication overhead, while in high-density or high-risk zones, communication frequency and detail increase. This parameter adaptation allows efficient management of large UAV quantities without constant maximum-bandwidth communication requirements.
Data Source
AI summary
Systems and methods for package pickup and delivery include, in an air traffic control system configured to manage Unmanned Aerial Vehicle (UAV) flight in a geographic region, communicating to one or more UAVs over one or more wireless networks, wherein the one or more UAVs are configured to constrain flight based on coverage of the one or more wireless networks; receiving a delivery request from a company specifying a pickup location, a package, and a delivery location; selecting a UAV of the one or more UAVs for the delivery requests; and directing the UAV to pick up the package at the pickup location and to deliver the package to the delivery location, wherein the air traffic control system provides a flight plan to the UAV based on the delivery request.