Aircraft Taxi Trajectory Segmentation for Accurate Airport Movement Data
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Solution Overview
Problem
Existing systems for generating operational data on aircraft movements in airport infrastructure face inaccuracies due to erroneous position data from transponders, leading to distorted operational data and incorrect interpretations.
Innovation Solution
A method and system that acquire and process movement tracking data sets for aircraft within a detection volume, identifying trajectories and dividing them into phases to generate precise operational data by filtering out erroneous data and defining new phase-based data types, which are then transmitted to a user system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If position data from aircraft transponders is used directly, then operational data can be generated continuously, but the position data may be inaccurate leading to distorted operational data
Solution Approach 1:
The patent segments the continuous position data stream into discrete trajectories by identifying start and end points based on predefined criteria (e.g., entering/exiting detection volumes, minimum duration thresholds). This segmentation allows filtering of incomplete or erroneous position readings while maintaining continuous operational data generation from valid trajectory segments.
Solution Approach 2:
The system performs preliminary filtering and validation of position data before generating operational data. By applying criteria such as minimum trajectory duration, speed thresholds, and geometric constraints on detection volumes, the system pre-processes data to eliminate erroneous readings before they contaminate the operational dataset.
2Device complexity
If position data transmission intervals are increased, then data processing load is reduced, but operational data becomes less accurate and more distorted
Solution Approach 1:
The patent introduces an intermediary processing layer that aggregates multiple position readings into validated trajectory segments. This intermediary step reconciles the tension by processing data in manageable batches (trajectories) rather than individual points, reducing overall processing load while maintaining accuracy through cumulative validation.
Solution Approach 2:
The system dynamically adjusts processing parameters such as trajectory duration thresholds, speed minimums, and detection volume dimensions based on operational conditions. These parameter changes allow the system to adapt processing intensity to data quality, maintaining accuracy when needed while reducing load during stable conditions.
3Loss of information
If all position data points are considered in trajectory analysis, then complete operational information is obtained, but erroneous data points distort the operational data
Solution Approach 1:
The patent extracts and removes erroneous position data points from the analysis by applying validation criteria during trajectory identification. Position readings that fail to meet geometric, temporal, or kinematic constraints are extracted and excluded, preserving complete information from valid points while eliminating corrupting influences.
Solution Approach 2:
The system implements feedback mechanisms where operational data quality metrics are continuously monitored and used to adjust trajectory validation parameters. This feedback loop allows the system to learn from data patterns and refine its filtering criteria, maintaining both completeness and correctness over time.
Data Source
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AI summary
- Method and system for generating operational data relating to aircraft movements in an operational infrastructure. - The operational data generation system includes an acquisition module (ACQ) for aircraft movement tracking datasets (AC), an identification module (IDEN1) identifying a trajectory for each aircraft (AC) from movement tracking datasets, at least one taxiway (R) and at least one parking area (ZT), an identification module (IDEN2) which identifies, for each trajectory, phases associated with phase data, a generation module (GEN1) which generates operational datasets including flight, position and phase data for each aircraft (AC), and a transmission module (TRANS) which transmits these operational datasets to a user system.The system (1) makes it possible to obtain accurate operational data generated from reliable data.