Relative Driving Condition Diagnosis via Sectional Comparison
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Solution Overview
Problem
Existing driving condition diagnosis systems struggle with accurate quantitative assessment, as some diagnosis items cannot be diagnosed effectively, leading to inappropriate evaluations based on absolute standards rather than relative comparisons.
Innovation Solution
A driving advice provision apparatus that acquires vehicle information, diagnoses driving conditions by calculating and comparing conditions across different travel sections, providing relative assessments to yield accurate advice for drivers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If absolute standard values are used for diagnosis, then the diagnosis process is simple, but the diagnosis accuracy deteriorates because it cannot account for road-specific conditions
Solution Approach 1:
The patent segments the diagnosis process into two distinct parts: (1) calculation of absolute standard values for each travel section based on historical data, and (2) comparison of current driving conditions against these section-specific standards. This segmentation allows the system to maintain simple comparison logic while improving accuracy through customized standards for different road sections.
Solution Approach 2:
The system performs preliminary action by pre-calculating and storing standard values for each travel section before actual diagnosis occurs. These standard values represent the expected driving conditions for specific road sections and are prepared in advance, enabling accurate real-time comparison without complex calculations during the diagnosis moment.
2Ease of operation
If fuel mileage is compared against fixed standards, then evaluation is straightforward, but the evaluation becomes inappropriate for different road types such as expressways versus local roads
Solution Approach 1:
The patent applies local quality by creating customized evaluation standards for different travel sections (expressways, local roads, etc.). Each section has its own standard values calculated from historical data, allowing the evaluation to be appropriately tailored to local road characteristics while maintaining a unified evaluation framework.
Data Source
AI summary
An advice provision apparatus calculates the driving condition of the vehicle for every predetermined travel section, for the purpose of comparison with the driving condition in the previous travel section. The driving condition of the current section is evaluated in a relative manner based on the comparison of at least two travel sections, even when the absolute assessment of the driving condition is difficult. Thus, the advice provision apparatus can accurately and precisely diagnose the driving condition of the driver.