Aerial Ride Quality Feedback Control for Passenger Discomfort
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Solution Overview
Problem
Autonomous aerial vehicles lack the ability to adjust their flight paths in real-time to mitigate passenger discomfort caused by turbulence or other environmental disturbances, as they do not have a pilot to respond to such issues.
Innovation Solution
A network system that collects user feedback from passengers, correlates it with vehicle data and meteorological data, and uses this information to identify the root cause of discomfort. The system then determines and implements mitigation actions, such as rerouting the vehicle or adjusting its altitude, to improve ride quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If autonomous aerial vehicles are used to eliminate the need for a pilot, then operational efficiency and cost are improved, but the ability to respond to turbulence and environmental disturbances deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where passenger feedback about comfort levels is collected and used to adjust flight parameters. Sensors detect turbulence and environmental conditions, and this information feeds back to the autonomous control system, which then modifies the flight path or vehicle orientation to mitigate discomfort, enabling autonomous vehicles to adapt to disturbances without a pilot
Solution Approach 2:
The autonomous aerial vehicle performs self-adjustment of flight parameters based on collected data from sensors and passenger feedback. The system monitors its own performance and environmental conditions, then autonomously implements corrections to maintain comfort, allowing the vehicle to serve itself without human intervention
2Ease of operation
If real-time flight path adjustments are implemented to improve ride quality, then passenger comfort is improved, but system complexity increases
Solution Approach 1:
The patent integrates multiple functions into a unified autonomous control system that handles both navigation and comfort optimization. The same sensor array and control algorithms used for basic flight stabilization are also employed to process passenger feedback and adjust flight paths for comfort, allowing the system to perform multiple functions without proportionally increasing complexity
Solution Approach 2:
The patent introduces an intermediary processing layer that translates passenger feedback and sensor data into flight parameter adjustments. This intermediary system acts as a mediator between the raw data inputs and the autonomous control mechanisms, simplifying the overall system architecture by providing a dedicated interface for comfort optimization without requiring complete system redesign
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.