Vehicle Drive Assistance System Dynamic Workload Adjustment
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Solution Overview
Problem
Existing vehicle drive assistance systems fail to maintain driver engagement and performance for drivers with high driving skills, leading to boredom and potential degradation in driving ability over time, as they provide excessive assistance that reduces the required driving workload.
Innovation Solution
A vehicle drive assistance system that includes a processor to estimate the driver's required and current driving abilities, using modules to adjust the level of assistance by increasing the driving workload through enhanced information presentation and autonomous drive processing, ensuring a balanced driving demand and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If drive assistance is increased to enhance driver's driving skill, then driving skill improves, but driving becomes boring and driver's performance degrades
Solution Approach 1:
The system dynamically adjusts the degree of drive assistance based on real-time comparison between required driving ability and current driving ability. When current ability exceeds required ability, the system reduces assistance to maintain driver engagement; when required ability exceeds current ability, the system increases assistance to improve driving skill. This dynamic adjustment resolves the contradiction between improving skill and maintaining engagement.
Solution Approach 2:
The system continuously monitors and compares required driving ability (based on traffic environment) with current driving ability (estimated from driving behavior), providing feedback that drives the adjustment of assistance level. This feedback mechanism ensures that drive assistance is optimized to both improve skill and maintain driver engagement, preventing boredom while enhancing capability.
2Reliability
If the degree of assistance is increased, then driving skill improves, but the difference between required and current ability increases
Solution Approach 1:
The system uses feedback from continuous comparison between required and current driving ability to control the degree of assistance. When current ability exceeds required ability, the system reduces assistance to prevent further widening of the gap. This feedback-controlled approach ensures that skill improvement occurs without creating an excessive ability gap that would reduce driver engagement.
Solution Approach 2:
The system allows the drive assistance to self-adjust based on the driver's performance relative to requirements. When the driver's current ability surpasses requirements, the system automatically reduces assistance, allowing the driver to maintain engagement. This self-service mechanism prevents the ability gap from becoming too large while still enabling skill enhancement when needed.
Data Source
AI summary
A vehicle drive assistance system is provided, which includes a processor configured to execute a required driving ability estimating module to estimate a driver's required driving ability required for driving a vehicle based on a traffic environment around the vehicle and drive assistance provided to the driver by the vehicle, a current driving ability estimating module to estimate a driver's current driving ability, and a changing module to perform increase processing in which the required driving ability is increased when the current driving ability is higher than the required driving ability.