Flight Plan Route Prediction Using Historical Point Statistics
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Solution Overview
Problem
Current air traffic data processing systems face challenges in accurately predicting flight plan routes without submitted flight plans, relying on approximate schedule information which lacks route details.
Innovation Solution
A method and device that collect pre-written flight plan routes, perform syntax analysis to extract strings, define route points, and predict virtual flight plan routes by positioning airways between route points, using aeronautical information publication (AIP) for validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual input of virtual route is used based on previous control experience, then the route can be generated, but input errors and format discrepancies occur
Solution Approach 1:
The system automatically generates virtual routes by extracting route point statistics from historical flight plan data, eliminating the need for manual input and subsequent human errors. The automated extraction and standardization process ensures consistent and accurate route generation without relying on operator experience.
Solution Approach 2:
The system copies and analyzes historical flight plan routes from databases to extract statistical patterns. By copying previous accurate flight plan data and processing it through automated extraction algorithms, the system replicates the accuracy of manual expertise without human intervention.
2Device complexity
If text comparison method is used to select flight route, then the process is simple, but routes with different display formats are not correctly identified as same
Solution Approach 1:
The system segments the flight plan route into discrete route points and extracts statistical information for each route point. This segmentation allows for precise matching and identification of routes regardless of display format variations, as each segment can be independently analyzed and compared.
Solution Approach 2:
The system changes the parameter of route representation from raw text strings to standardized route point statistics. By transforming routes into a standardized format based on extracted route point data, the system enables accurate comparison and identification of equivalent routes despite different display formats.
3Productivity
If schedule information only is used for prediction, then the system can operate without flight plan submission, but route accuracy is insufficient
Solution Approach 1:
The system performs preliminary extraction and analysis of route point statistics from historical flight plan data before actual prediction is needed. By pre-processing and storing standardized route point information in databases, the system can quickly and accurately generate virtual routes when prediction is required, without waiting for flight plan submissions.
Solution Approach 2:
The system introduces route point statistics as an intermediary between schedule information and final route prediction. This intermediary layer extracts and standardizes route information from historical data, enabling accurate virtual route generation based on schedule information alone when flight plans are not submitted.
Data Source
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AI summary
A method and device for predicting a flight plan route based on route point statistics of previous flight plans are disclosed. The method of predicting a flight plan route based on route point statistics of previous flight plans includes collecting a pre-written flight plan route from a database, extracting a plurality of strings by performing a syntax analysis on the pre-written flight plan route, defining a route point in the plurality of strings, and predicting a virtual flight plan route by positioning an airway between a pair of route points.