Airport Taxi Assist Path Alignment With Painted Guidance Lines
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Solution Overview
Problem
Current taxi assist computation algorithms for airports generate paths that do not align with actual guidance lines on the runway, leading to inefficiencies in aircraft navigation.
Innovation Solution
A method and system that retrieve airport taxiway/runway networks, generate multiple taxi assist paths, select an optimum path, and modify it to match painted taxiway guidance lines, displaying the adjusted path on an aircraft display device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple straight line segments are used to generate taxi assist paths, then path generation flexibility is improved, but alignment with actual guidance lines deteriorates
Solution Approach 1:
The taxi assist path is divided into multiple straight line segments connecting key points (taxiway intersections, runway thresholds, parking stand positions) to enable flexible path generation while maintaining alignment with actual guidance lines through strategic point selection
Solution Approach 2:
Key points (intersections, thresholds, positions) serve as intermediaries that bridge the computational path generation process with the physical guidance lines on the ground, ensuring that the generated path segments align with actual taxiway geometry
2Device complexity
If conventional taxi assist algorithms are used, then computational simplicity is maintained, but navigation accuracy deteriorates
Solution Approach 1:
The system pre-retrieves and stores taxiway network data, guidance line mappings, and key point coordinates before path generation, enabling accurate alignment without complex real-time computations during actual taxi operations
Solution Approach 2:
The system creates a digital representation (copy) of the physical taxiway guidance lines and airport layout, allowing the computational path to be generated and then aligned with the actual ground markings through data mapping rather than complex geometric transformations
Data Source
AI summary
A method and system for generating a taxi assist path for an aircraft at an airport has been developed. First, a network of taxiways/runways for the airport is retrieved and used to generate multiple taxi assist paths for the aircraft from the present location of the aircraft to the destination of the aircraft. An optimum taxi assist path is selected for the aircraft from the multiple taxi assist paths. A mapping diagram of painted taxiway guidance lines for the airport is retrieved. The optimum taxi assist path is then modified to match corresponding painted taxiway guidance lines and displayed on an aircraft display device.