Driving Ability Determination via Cognitive Load Events
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Solution Overview
Problem
Existing driving ability determination systems require applying a load to the driver to evaluate safe driving ability, which hinders normal driving operations.
Innovation Solution
A driving ability determination system that acquires time-series travel data, calculates evaluation values for steering characteristics, and determines the occurrence of predetermined events that increase cognitive load, allowing for the assessment of driving ability without disrupting normal driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a load is applied to the driver to evaluate safe driving ability, then the evaluation accuracy is improved, but the driving operation is hindered
Solution Approach 1:
The patent extracts and identifies specific events from continuous travel data that naturally impose cognitive load on the driver (such as lane changes, intersections, pedestrian crossings). By taking out these naturally occurring events rather than applying artificial loads, the system achieves evaluation accuracy without hindering normal driving operations.
Solution Approach 2:
The system utilizes the driver's own driving behavior and naturally occurring situations as the evaluation source. The travel data itself serves as the evaluation material, with events like lane changes and intersections providing natural cognitive load situations. This self-service approach eliminates the need for external load application while maintaining evaluation validity.
2Reliability
If travel data is collected continuously for evaluation, then the evaluation comprehensiveness is improved, but the data processing complexity increases
Solution Approach 1:
The patent segments continuous travel data into discrete evaluation segments based on specific events (lane changes, intersections, pedestrian crossings, etc.). Each event type is identified and processed separately, allowing comprehensive evaluation while simplifying data handling through structured segmentation rather than processing all continuous data uniformly.
Solution Approach 2:
The system performs preliminary identification and classification of events in travel data before detailed evaluation processing. By pre-identifying which segments contain evaluation-relevant events and categorizing them by type, the system reduces subsequent processing complexity while maintaining comprehensive evaluation coverage.
Data Source
AI summary
A driving ability determination system includes a processor and a memory coupled to the processor. The processor is configured to perform: acquiring time-series travel data of a vehicle; calculating an evaluation value indicating a steering characteristic of a driver of the vehicle based on the travel data; and determining whether a predetermined event in which a predetermined load acts on the driver has occurred based on the travel data. The calculating includes specifying, as specific travel data, the travel data acquired after a time point at which it is determined that the predetermined event has occurred from among the travel data and calculating the evaluation value based on the specific travel data.