AI Airspace Authorization and Flight Path Control for Urban Skyways
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Solution Overview
Problem
The increasing use of flying vehicles poses challenges in managing air traffic congestion and ensuring safety in congested airspace, with potential for physical harm and property damage due to unauthorized or hazardous vehicles.
Innovation Solution
An artificially intelligent air traffic control system utilizing AI sensors, local servers, and cloud servers with blockchain technology to authorize and control flying vehicles, manage flight paths, and enforce authorization through AI SIM cards and e-commerce transactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If flying vehicles are allowed to operate freely in airspace, then ease of operation and accessibility are improved, but air traffic congestion and safety risks increase
Solution Approach 1:
An AI-based air traffic control system acts as an intermediary between flying vehicles and airspace. The system includes AI sensors that detect vehicles, AI local servers that process authorization requests, and AI cloud servers that manage flight paths. This intermediary structure enables free operation of vehicles while maintaining safety through automated authorization and collision avoidance.
Solution Approach 2:
The air traffic control system implements continuous feedback loops where AI sensors monitor vehicle positions, the system processes authorization requests in real-time, and provides feedback to vehicles regarding approved flight paths. This feedback mechanism ensures that vehicles operate safely within authorized parameters while maintaining ease of access to the airspace.
2Reliability
If authorization control is implemented for flying vehicles, then air traffic safety and congestion management are improved, but device complexity and operational procedures increase
Solution Approach 1:
The authorization system operates autonomously using AI algorithms that automatically detect flying vehicles, verify their authorization status, and assign flight paths without human intervention. The AI local servers and cloud servers process requests automatically, reducing the perceived complexity for operators while maintaining high safety standards.
Solution Approach 2:
The AI-based air traffic control system performs multiple functions within a unified architecture: vehicle detection, authorization verification, flight path assignment, and congestion management. This multi-functional approach consolidates what would otherwise be separate complex systems into a single integrated platform, reducing overall system complexity.
3Productivity
If multiple flying vehicles operate simultaneously in congested airspace, then productivity and air traffic volume increase, but collision risk and congestion worsen
Solution Approach 1:
The air traffic control system segments the airspace into multiple zones and assigns specific flight paths to different vehicles. AI sensors detect vehicle positions and the system dynamically divides the airspace to prevent congestion and collision. This segmentation allows multiple vehicles to operate simultaneously while maintaining safe separation distances.
Solution Approach 2:
The authorization and flight path assignment system is dynamic rather than static. It continuously monitors the positions of all flying vehicles and adjusts flight paths in real-time to prevent congestion and collision. This dynamic adaptation enables high air traffic volume while maintaining safety through automated conflict resolution.
Data Source
AI summary
An artificially intelligent air traffic control system is provided. The system can include an artificially intelligent (AI) sensor configured to detect and remotely communicate with one or more flying vehicles and an AI local server communicatively coupled to the AI sensor. The artificially intelligent local server can send control instructions including authorization for the one or more flying vehicles to fly in an airspace and a flight path to fly through the airspace. The system can also include an AI cloud server communicatively coupled to the AI local server. The AI cloud server can receive data from the AI local server and the AI sensor associated with the one or more flying vehicles. The AI local server can send the authorization and the flight path to the one or more flying vehicles via the AI sensor based on the received data stored on the AI cloud server.