Robotic Aircraft Transfer Routing for Occupied Landing Areas
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Solution Overview
Problem
Current systems for ground transportation of aircraft face challenges in efficiently and safely transferring aircraft between different zones of an aerial transport facility, particularly in densely populated urban environments.
Innovation Solution
A computing system that coordinates the actions of robotic devices at an aerial transport facility by obtaining facility data and determining the appropriate robotic device to transport an aircraft within the landing area, based on facility data, robotic data, and flight itineraries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If robotic devices are used to transport aircraft within the landing area, then operational efficiency and safety are improved, but device complexity increases
Solution Approach 1:
A computing system acts as an intermediary between multiple robotic devices and the aircraft transfer operations. The computing system receives facility data, determines optimal robotic device assignments, calculates routes, and coordinates movements to prevent collisions. This centralized coordination layer manages the complexity of multiple robotic devices without requiring each individual device to be overly complex, thereby improving operational efficiency while distributing the complexity burden to the coordinating system.
2Reliability
If dynamic route determination is implemented for robotic devices, then safety of aircraft movement is improved, but loss of time in route planning increases
Solution Approach 1:
The computing system determines routes for robotic devices in advance before the robotic devices begin their operations. By pre-calculating routes based on current facility data and aircraft positions, the system prepares routing information ahead of time, reducing the time needed for real-time route determination while maintaining safety through dynamic adjustments as conditions change.
Solution Approach 2:
The system continuously monitors facility data, aircraft positions, and robotic device locations, using this feedback to dynamically adjust and recalculate routes as needed. This real-time feedback mechanism ensures safety by responding to changing conditions while optimizing route planning time by only recalculating when necessary rather than continuously.
3Productivity
If multiple robotic devices operate simultaneously in the landing area, then productivity of aircraft transfer increases, but risk of collision and harmful factors increases
Solution Approach 1:
The computing system serves as a central intermediary that coordinates all robotic devices operating in the landing area. It receives real-time facility data including positions of all robotic devices and aircraft, determines optimal assignments and routes for each device, and communicates control instructions to prevent collisions. This centralized coordination enables multiple devices to operate simultaneously at high productivity while the computing system actively manages and prevents harmful interactions through continuous monitoring and route optimization.
Data Source
AI summary
Systems and methods for transferring aircraft within a landing area of an aerial transport are provided. A system includes a plurality of robotic devices configured to move aircraft within the landing area. The system obtains facility data to dynamically determine accessible and prohibited areas of the landing area. The system determines a robotic device to transfer an aircraft based on map data representing the prohibited/accessible areas of the landing area and robotic data representing attributes of each robotic device. The system determines a number of routes for the selected robotic device to transfer the aircraft within the landing area while avoiding prohibited areas of the landing area. The system generates command instructions for the selected robotic device and provides the command instructions to the selected robotic device to travel in accordance with the number of routes.