Occupant Support Control for Unstated Vehicle Requirements
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Solution Overview
Problem
Existing vehicle support systems fail to anticipate and address unstated requirements of occupants, leading to a lack of communication and inadequate adjustment of vehicle operations, which can compromise the occupant's experience and safety.
Innovation Solution
An occupant support system that identifies unstated requirements of occupants through data correlation from various vehicle sensors, determines feasible changes in vehicle operations based on trip objectives and constraints, and controls these operations to meet both stated and unstated needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If vehicle support systems control operations based on stated requirements only, then the system complexity remains manageable, but the system fails to anticipate unstated requirements and provide comprehensive occupant support
Solution Approach 1:
The system performs preliminary analysis of occupant behavior patterns and contextual data to anticipate unstated requirements before they are explicitly expressed. By continuously monitoring and predicting occupant needs in advance, the system proactively adjusts vehicle operations to comply with both stated and unstated requirements, thereby enhancing adaptability without proportionally increasing complexity.
Solution Approach 2:
The system implements continuous feedback loops that monitor occupant responses to vehicle operations and use this information to refine predictions of unstated requirements. By analyzing feedback from multiple sensors and occupancy data, the system learns and adapts to individual occupant preferences and needs, improving its ability to anticipate requirements while maintaining manageable complexity through iterative refinement.
2Measurement precision
If the system monitors and analyzes multiple data sources to identify unstated requirements, then the accuracy of requirement identification improves, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary processing and filtering of data from multiple sources continuously, preparing aggregated occupancy and contextual information in advance for rapid analysis when requirement identification is needed. This pre-processing approach enables accurate identification of unstated requirements while minimizing real-time processing delays.
Solution Approach 2:
The system selectively analyzes subsets of data sources based on current contextual relevance and confidence thresholds, rather than processing all available data uniformly. By focusing computational resources on the most relevant data streams and using heuristic filters to exclude low-value information, the system achieves high accuracy in requirement identification while reducing overall processing time and computational load.
3Ease of operation
If the system implements changes to comply with unstated requirements, then occupant comfort and satisfaction improve, but vehicle operation constraints may be compromised
Solution Approach 1:
The system dynamically adjusts vehicle operations by continuously evaluating the feasibility of compliance actions against current vehicle state and operational constraints. When unstated requirements are identified, the system determines appropriate adjustments that optimize occupant comfort while maintaining necessary vehicle operation parameters, allowing flexible adaptation without compromising safety or performance boundaries.
Solution Approach 2:
The system modifies operational parameters within acceptable ranges to comply with unstated requirements while maintaining vehicle operation constraints. By making incremental adjustments to controllable parameters such as climate settings, seating positions, or entertainment options rather than fundamental operational changes, the system improves occupant comfort without compromising vehicle reliability or safety requirements.
4Adaptability or versatility
If the system continuously learns and adapts to changing occupant requirements over time, then the system becomes more personalized and effective, but the complexity of managing contradictory requirements increases
Solution Approach 1:
The system segments occupant requirements into distinct categories and priority levels, allowing separate management of different requirement types. By dividing the complex task of handling contradictory requirements into manageable segments with specific resolution strategies, the system achieves high personalization capability while controlling the complexity of managing multiple conflicting occupant needs through structured organization.
Data Source
AI summary
Embodiments of present disclosure relates to method and system of controlling operations of the vehicle based on the requirements of the occupants in the vehicle. The occupant support system receives data from a plurality of sources installed in the vehicle. The occupant support system identifies one or more unstated requirements of an occupant in the vehicle based on the data. The occupant support system determines one or more changes associated with one or more operations of the vehicle, based on the one or more unstated requirements. The occupant support system determines feasibility of implementing the one or more changes for controlling the one or more operations of the vehicle. Thereafter, the occupant support system controls the one or more operations of the vehicle, based on the feasibility.