Driving Skill Evaluation With Tiered Advice by Driver Skill Level
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Solution Overview
Problem
Existing driving skill evaluation methods lack the ability to provide tailored advice to drivers based on their skill level, particularly distinguishing between basic and advanced driving skills.
Innovation Solution
A driving skill evaluation method and system that assess a driver's skill using traveling data, providing first advice not based on data for basic skill levels and second advice based on data for higher skill levels, including specific advice on acceleration, deceleration, and steering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If driving skill evaluation is performed using only basic parameters, then the evaluation system is simple, but the advice quality and precision are insufficient
Solution Approach 1:
The evaluation system segments the advice provision into multiple levels: basic advice for lower skill levels and detailed data-driven advice for higher skill levels. This segmentation allows the system to maintain simplicity for basic evaluations while providing comprehensive analysis when needed, resolving the contradiction between evaluation precision and system complexity
Solution Approach 2:
The system applies partial action by providing detailed traveling data analysis only when necessary (for higher skill levels), rather than always providing comprehensive data. This selective approach improves evaluation precision for advanced users without unnecessarily increasing system complexity for all users
2Loss of information
If detailed traveling data analysis is provided to all drivers, then the advice quality improves, but the information overload increases
Solution Approach 1:
The system applies local quality by tailoring the information provided to each driver's skill level. Basic advice is given to drivers who need simple guidance, while detailed traveling data analysis is provided only to drivers capable of understanding and utilizing such information. This resolves the contradiction by ensuring information completeness for those who need it while maintaining ease of understanding for others
Solution Approach 2:
The advice system is dynamic, adapting the level of detail provided based on the driver's skill level. This dynamic adjustment ensures that information completeness and ease of understanding are both optimized for each user, rather than applying a static approach to all drivers
3Adaptability or versatility
If skill-level-based advice provision is implemented, then the advice relevance improves, but the processing complexity increases
Solution Approach 1:
The system segments advice provision into distinct skill levels with different types of advice. This segmentation enables adaptable advice delivery while keeping processing complexity manageable by using clear criteria to determine which type of advice to provide based on the driver's skill level
Data Source
AI summary
A driving skill evaluation method according to one embodiment of the disclosure includes: performing an evaluation process of evaluating a driving skill of a driver of a vehicle, based on traveling data of the vehicle; and performing an advice process of giving advice to the driver, based on an evaluation result of the driving skill of the driver. The advice process includes: giving first advice not based on the traveling data to the driver, when the driving skill evaluated by the evaluation process is a first skill level; and giving second advice based on the traveling data to the driver, when the driving skill evaluated by the evaluation process is a second skill level higher than the first skill level.