Airport Moving Map Runway Overrun Indicators
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Solution Overview
Problem
Flight displays lack a means to visualize runway overrun awareness and alerting system (ROAAS) determined stopping distances on an intended runway during an approach procedure, making it difficult for flight crews to anticipate where stopping distances and ROAAS alerts will occur.
Innovation Solution
A system comprising a display and at least one processor, configured to obtain ROAAS data including maximum ROAAS model distance (RMD), nominal model distance (NMD), and ROAAS runway end, and generate an overhead view of an airport moving map (AMM) displaying the aircraft's location relative to the runway, along with indicators for maximum RMD, NMD, and ROAAS runway end.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If flight displays show traditional navigation information only, then the display complexity remains low, but the flight crew cannot visualize stopping distances and ROAAS alert locations
Solution Approach 1:
The patent transforms ROAAS stopping distance information from abstract numerical data into a two-dimensional visual representation on the airport moving map. By projecting stopping distance markers (such as 105, 110, 115, 120, 125, 130, 135, and 140) and ROAAS alert location markers (such as 107, 112, 117, 122, 127, 132, 137, and 142) onto the runway geometry in an overhead view, the system enables flight crews to spatially visualize where the aircraft will stop and where alerts will occur, resolving the information visualization problem while maintaining manageable display complexity through intuitive graphical mapping.
2Loss of information
If flight displays add multiple ROAAS indicators, then the situational awareness improves, but the information processing complexity increases
Solution Approach 1:
The patent segments ROAAS stopping distance information into multiple discrete markers representing different stopping distances (e.g., 105, 110, 115, 120, 125, 130, 135, and 140 feet markers). Each marker is independently displayed at its corresponding location along the runway, allowing flight crews to see the progression of stopping distances rather than a single aggregate value. This segmentation provides comprehensive situational awareness while distributing the information processing load across multiple simple visual elements rather than requiring complex integrated processing.
Solution Approach 2:
The system transforms abstract stopping distance measurements into spatially distributed visual markers on the airport moving map. By mapping each stopping distance value to its corresponding physical location along the runway in an overhead view, the system enables parallel visual processing of multiple data points without requiring sequential analysis, thereby improving situational awareness while keeping information processing manageable through spatial distribution.
3Measurement precision
If the system calculates maximum RMD and NMD, then the stopping distance accuracy improves, but the computational requirements increase
Solution Approach 1:
The system performs preliminary calculations of both maximum RMD (based on current aircraft state) and NMD (based on aircraft performance, environmental conditions, brake selection, and deceleration rate) before the landing event. By pre-computing these stopping distance values and their corresponding locations on the airport moving map, the system ensures accurate stopping distance prediction is available when needed without requiring intensive real-time computation during the critical approach and landing phase, thereby balancing measurement precision with computational efficiency.
Data Source
AI summary
A system may be configured to display a view of an airport moving map (AMM) depicting a location of an aircraft relative to a runway, the runway, a maximum runway overrun awareness and alerting system (ROAAS) model distance (RMD) indicator on the runway, a nominal model distance (NMD) indicator on the runway, and a ROAAS runway end indicator.