Aerial Ride Quality Feedback Control for Turbulence Discomfort
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Solution Overview
Problem
Autonomous aerial vehicles cannot adjust to alleviate passenger discomfort caused by turbulence or environmental disturbances, as pilots cannot manually compensate for these issues.
Innovation Solution
A network system that collects passenger feedback, correlates it with vehicle and meteorological data to identify root causes of discomfort, and implements mitigation actions such as rerouting or altering vehicle conditions to improve ride quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous aerial vehicles are used, then operational efficiency and scheduling flexibility are improved, but the ability to manually adjust for passenger comfort during turbulence is lost
Solution Approach 1:
The system implements feedback by collecting passenger comfort feedback during flights, analyzing it to identify root causes of discomfort, and using this information to adjust vehicle operations in real-time or for future flights, thereby restoring adaptability to autonomous vehicles
Solution Approach 2:
The autonomous vehicle system performs self-adjustment by automatically analyzing passenger feedback data and operational parameters to determine optimal mitigation actions, eliminating the need for manual pilot intervention while maintaining adaptability to comfort issues
2Reliability
If real-time passenger feedback collection is implemented, then ride quality improvement is enabled, but system complexity increases
Solution Approach 1:
The system uses multi-functional existing components (passenger devices, vehicle sensors, communication systems) to collect and process feedback, avoiding the need for dedicated complex hardware while achieving ride quality improvement through software-based feedback analysis
Data Source
AI summary
Systems and methods for improving aerial ride quality based on user feedback accessed from an aerial vehicle and devices associated with passengers are provided. A network system receives, from one or more devices associated with a passenger on an aerial vehicle, feedback data regarding a flight, whereby the feedback data is associated with an issue experienced by the passenger. The network system then identifies a root cause of the issue experienced by the passenger on the aerial vehicle. The identifying may include correlating the feedback data with other data associated with the flight. A mitigation action to mitigate the issue is determined. The network system may determine whether to trigger the mitigation action based on a corresponding threshold and can trigger the mitigation action to occur accordingly.