Vehicle Control Device Personalizing Ride Comfort via Driver Feedback
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Solution Overview
Problem
Current vehicle control systems do not accommodate individual driver preferences for automatic driving modes, leading to inconsistent riding experiences.
Innovation Solution
A vehicle control device that acquires a numerical response from the driver regarding their comfort level after automatic control has ended, adjusting automatic control parameters for acceleration, braking, and vibration damping to match the driver's preference, incorporating information about the surrounding environment and driver state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automatic control parameters are fixed for all drivers, then the control system is simple and reliable, but it cannot accommodate individual driver preferences for comfort
Solution Approach 1:
The system acquires driver responses as numerical values after automatic control ends, then uses this feedback to change automatic control parameters. This creates a closed-loop system where driver preferences are continuously incorporated, resolving the contradiction by making the system adaptable without requiring complex pre-programming for each driver.
Solution Approach 2:
The system automatically adjusts control parameters based on driver responses without requiring manual reconfiguration. The driver simply provides feedback, and the system self-adjusts, maintaining simplicity while achieving adaptability to individual preferences.
2Adaptability or versatility
If multiple driving modes are pre-set for different preferences, then driver preferences can be accommodated, but the system cannot dynamically adapt to individual drivers' specific needs
Solution Approach 1:
The system collects driver responses as numerical values and uses them to dynamically adjust parameters. This feedback mechanism prevents loss of individual preference information by continuously learning and adapting to each driver's specific needs rather than relying on pre-set generic modes.
Solution Approach 2:
The control parameters are made dynamic and adjustable based on driver responses rather than being fixed in pre-set modes. This allows the system to evolve and adapt to individual driver preferences over time, preventing information loss about specific driver needs.
3Adaptability or versatility
If the system collects detailed driver feedback, then personalized control is achieved, but the information processing complexity increases
Solution Approach 1:
The system uses numerical values to represent driver responses, simplifying the feedback data into manageable parameters. This approach achieves personalization by adjusting control parameters based on these numerical representations without requiring complex processing of detailed qualitative feedback.
Solution Approach 2:
The system replaces complex qualitative feedback processing with numerical value-based parameter adjustment. By quantifying driver responses, the system achieves personalization through simpler mathematical operations rather than complex linguistic or behavioral analysis.
Data Source
AI summary
A vehicle control device for a vehicle in which driving is automatically controlled in a predetermined driving mode established by automatic control parameters. The vehicle control device has a processor configured to acquire a response from a driver in regard to driving of the vehicle, as a numerical value, when driving of the vehicle by automatic control has ended, and to change the automatic control parameters based on the numerical value of the response from the driver.


