AEDT Noise Contour Analysis Using Representative Flight Track Sampling
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Solution Overview
Problem
The Aviation Environmental Design Tool (AEDT) is cumbersome and slow to use, requiring significant time and expertise to calculate noise contours around airports, especially when processing large volumes of flight track data, which hinders efficient noise pollution analysis and remediation efforts.
Innovation Solution
A method is developed to reduce the number of flight tracks input into AEDT by selecting a representative sample using specific algorithms and weight values, ensuring the accuracy of noise contour calculations while significantly reducing processing time, allowing for flexible user input and customization to account for varying airport conditions and aircraft operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all flight tracks are input to AEDT to ensure accurate noise contour results, then measurement precision is improved, but loss of time increases significantly
Solution Approach 1:
The patent applies partial action by selecting a representative subset of flight tracks rather than processing all available data. The system determines an optimal sample size that provides sufficient statistical representation for accurate noise contour calculations while dramatically reducing processing time. This is achieved through algorithms that identify and select flight tracks based on their representativeness to the overall dataset.
Solution Approach 2:
The patent implements preliminary action by pre-processing the flight track data to identify and categorize tracks before the main AEDT processing. The system performs initial analysis to determine which flight tracks are most representative of the overall operations, allowing the subsequent noise contour calculation to focus only on these selected tracks rather than all available data.
2Measurement precision
If a larger number of flight tracks are processed to improve noise contour accuracy, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The system processes only the necessary portion of flight track data required to achieve accurate noise contours. By using statistical sampling methods and representativeness algorithms, the system determines the optimal number of flight tracks needed for each airport and time period, processing only that essential subset rather than all available data, thereby increasing productivity while maintaining accuracy.
Solution Approach 2:
The patent changes the parameter of data volume from processing all flight tracks to processing a statistically determined optimal sample. The system dynamically adjusts the number of flight tracks to process based on factors such as airport size, operational patterns, and desired confidence levels, optimizing the balance between accuracy and productivity for each specific case.
3Loss of time
If flight track data is reduced to minimize input to AEDT, then loss of time is reduced, but loss of information increases
Solution Approach 1:
The system performs preliminary analysis of the complete flight track dataset to identify representative samples before reducing data volume. This pre-processing step ensures that the selected subset retains all essential information needed for accurate noise contour calculations, including diverse aircraft types, operational patterns, and temporal distributions, thereby minimizing information loss while achieving data reduction.
Solution Approach 2:
The patent creates a representative copy or model of the complete flight track dataset that captures the essential characteristics and statistical properties of the original data. This copied representation maintains the key information needed for noise contour analysis while being sufficiently small for efficient processing, effectively preserving information content while reducing data volume.
Data Source
AI summary
A method of increasing the efficiency of the Aviation Environmental Design Tool (AEDT) by using a computer algorithm to generate an input file with far fewer flight tracks than would normally be required to obtain the same AEDT results using the same data pool.