Alternate Airport Selection Using Dynamic Visibility and Traffic Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current flight systems for diverting aircraft to alternate airports rely solely on static data, neglecting dynamic factors like visibility and traffic density, which can lead to inefficient and delayed diversion decisions.
Innovation Solution
A method and system that utilize both static and dynamic data, such as visibility information and traffic density, to identify and prioritize preferred alternate airports for aircraft diversion, incorporating a processing device to analyze and store this data for informed decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If known flight systems provide several alternate airports based on location, then pilots have multiple options to choose from, but the selection process becomes time-consuming and delays diversion decisions
Solution Approach 1:
The system pre-calculates and ranks multiple alternate airports based on various factors including weather conditions, traffic density, and airport capabilities before diversion is needed. This preliminary ranking allows pilots to quickly select from pre-evaluated options rather than analyzing multiple airports in real-time during emergency diversion scenarios.
Solution Approach 2:
The system continuously monitors dynamic conditions such as weather changes, traffic density, and airport status at potential alternate airports. This real-time feedback allows the system to update and re-rank alternate airport recommendations, ensuring the most current and appropriate options are presented to pilots during diversion decisions.
2Ease of operation
If flight systems consider only static data for alternate airport selection, then the system is simple to operate, but it fails to account for real-time conditions like visibility and traffic density
Solution Approach 1:
The system integrates both static airport data (runway lengths, elevation, facilities) and dynamic real-time data (weather conditions, traffic density, visibility) into a unified evaluation framework. This combination allows the system to maintain operational simplicity while significantly improving the reliability and accuracy of alternate airport recommendations through comprehensive data analysis.
Solution Approach 2:
The system dynamically adjusts evaluation parameters and weighting factors based on current flight conditions and airport characteristics. For example, visibility thresholds and traffic density tolerances are modified according to aircraft type, weather patterns, and airport capabilities, allowing the system to adapt its decision-making criteria without increasing operational complexity for pilots.
Data Source
AI summary
Systems and methods for use in identifying at least one alternate airport for an aircraft. One example method includes identifying a plurality of alternate airports based on static data associated with the plurality of alternate airports, identifying, at a processing device, at least one preferred alternate airport from the plurality of alternate airports based on dynamic data associated with the plurality of alternate airports, and storing the at least one preferred alternate airport. The dynamic data includes at least one of visibility information and traffic density information.