Driving Evaluation Device Segmentation for Incident Retrieval
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Solution Overview
Problem
Existing driving evaluation systems cannot browse information about dangerous driving incidents by type and danger rating for a specific driver, limiting user insight into the nature and severity of incidents.
Innovation Solution
A driving evaluation device and system that collects and stores driving information, including types and danger ratings, allowing users to retrieve and view evaluation information by type and danger rating, with features like displaying incident locations on a map and providing real-time notifications for new incidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If driving information is stored with types and danger ratings, then information completeness is improved, but storage complexity increases
Solution Approach 1:
The patent segments driving information into distinct categories including type information (e.g., speeding, running red light) and danger rating levels (e.g., low, medium, high). This segmentation allows the system to store comprehensive information in an organized manner, resolving the contradiction by structuring data to improve completeness while managing storage complexity through systematic categorization.
2Loss of information
If detailed driving information is retrieved by type and danger rating, then user insight is improved, but retrieval complexity increases
Solution Approach 1:
The retrieval system uses the same segmentation approach, allowing users to query driving information by specific types (e.g., speeding incidents) and danger ratings (e.g., high risk). This segmented structure enables detailed user insight while simplifying retrieval complexity through indexed categories that facilitate efficient querying.
Solution Approach 2:
The patent introduces an intermediary processing layer that handles retrieval operations between the storage unit and the user interface. This intermediary manages the complexity of retrieving detailed information by type and danger rating, providing users with insightful data while shielding them from the underlying retrieval complexity.
3Loss of information
If driving information is displayed by type and danger rating, then information organization is improved, but display complexity increases
Solution Approach 1:
The display interface segments driving information by type (e.g., speeding, running red light) and danger rating (e.g., low, medium, high risk levels). This segmentation improves information organization by presenting data in structured, easily distinguishable categories while managing display complexity through consistent visual patterns and hierarchical presentation.
Solution Approach 2:
The patent applies local quality by using distinct visual characteristics for different danger ratings (e.g., color coding for risk levels) and types of violations. This allows the display to convey organized information efficiently by assigning specific visual properties to different categories, improving organization while minimizing display complexity through intuitive visual differentiation.
Data Source
AI summary
A driving evaluation device includes a first memory and a first processor that is coupled to the first memory. The first processor is configured to cause driving information pertaining to dangerous driving incidents collected from a vehicle to be stored in a storage unit together with types and danger ratings of the dangerous driving incidents, generate evaluation information pertaining to a driver of the vehicle based on the driving information collected from the vehicle, retrieve dangerous driving incidents pertaining to the driver based on at least one of the types or the danger ratings, and provide to a user the evaluation information that has been generated and driving information pertaining to the dangerous driving incidents that have been retrieved.