Drone Corridor Availability Prediction for Congestion Prevention
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Solution Overview
Problem
Existing drone navigation systems do not effectively manage congestion in drone highways, leading to potential battery or fuel exhaustion and crashes when multiple drones use the same corridor simultaneously, as they do not predict or prevent congestion effectively.
Innovation Solution
A determination device that acquires usage plans, stores reservation information, calculates congestion parameters, predicts congestion status, and outputs availability information to manage drone corridor usage, preventing congestion by optimizing route planning and corridor usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple drones simultaneously use the same drone highway, then the utilization efficiency of the drone highway is improved, but congestion occurs leading to battery exhaustion and crashes
Solution Approach 1:
The patent applies preliminary action by predicting congestion status before drones actually encounter it. The prediction unit calculates determination parameters based on reservation information and usage plans to forecast future congestion, allowing the system to prevent congestion before it occurs by adjusting drone routes or schedules in advance, thus maintaining both high utilization and safety
Solution Approach 2:
The patent implements feedback through the determination unit that continuously monitors predicted congestion status and provides feedback on corridor availability. This feedback mechanism allows the system to adjust drone usage plans dynamically based on predicted congestion, ensuring that multiple drones can use the highway efficiently while preventing congestion-related failures
2Reliability
If congestion prediction and management systems are implemented, then congestion prevention and safe operation are improved, but system complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the congestion management system into distinct functional units: a prediction unit that calculates determination parameters, a determination unit that assesses corridor availability, and a usage plan acquisition unit that collects data. This modular segmentation reduces overall system complexity by making each component's function clear and manageable while maintaining comprehensive congestion prevention capability
Data Source
AI summary
Provided is a determination device that includes a usage plan acquisition unit that acquires a usage plan of a corridor formed for navigation of a drone, a storage unit that stores reservation information of the corridor, a calculation unit that calculates a determination parameter relating to congestion in the corridor corresponding to the usage plan by referring to the reservation information, a prediction unit that predicts a congestion status of the corridor according to the calculated determination parameter, a determination unit that generates determination information relating to availability of the corridor according to the predicted congestion status of the corridor, and an output unit that outputs the determination information relating to availability of the corridor.