Driving Evaluation System with Approach-Based Lane Positioning
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Solution Overview
Problem
Existing driving evaluation systems fail to provide evaluations consistent with real-world traffic conditions, as they do not account for situations where a vehicle must adjust its position relative to other objects on the road, such as when approaching or being approached by slower-moving vehicles or objects in adjacent lanes.
Innovation Solution
A driving evaluation system that includes an approach determiner to assess the degree of approach between a vehicle and objects, a relative position acquirer to evaluate the vehicle's position relative to its lane, and an evaluator that adjusts the evaluation based on real-time data to prioritize safer driving practices by excluding intervals with high approach degrees from the evaluation target.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the evaluation system continuously monitors vehicle position relative to lane center, then measurement precision of driving skill is improved, but the evaluation becomes inconsistent with real traffic conditions when objects are present
Solution Approach 1:
The evaluation system dynamically adjusts its monitoring behavior based on detected traffic conditions. When an object is detected within a predetermined distance, the system switches from continuous position monitoring to interrupted monitoring, allowing the evaluation criteria to adapt to changing traffic situations rather than rigidly applying lane-center positioning requirements
Solution Approach 2:
The system changes the evaluation parameters based on detected conditions. The predetermined distance threshold acts as a parameter that triggers a change in evaluation mode, where the distance between vehicle and object is continuously monitored and compared against this threshold to determine whether to interrupt evaluation
2Adaptability or versatility
If the evaluation system interrupts monitoring when objects are nearby, then adaptability to traffic conditions is improved, but loss of evaluation data increases
Solution Approach 1:
The system extracts and monitors the specific parameter of distance between vehicle and object separately from the lane position evaluation. By focusing on this extracted distance parameter, the system can make informed decisions about when to interrupt evaluation without losing the underlying data, as the distance monitoring continues independently
Solution Approach 2:
The system implements feedback by continuously monitoring the distance parameter and using this information to control the evaluation interruption logic. When the distance exceeds the predetermined threshold, the evaluation resumes, creating a feedback loop that ensures evaluation data is collected during appropriate conditions while adapting to traffic situations
Data Source
AI summary
A driving evaluation system includes an approach determiner configured to determine whether a degree of approach between an object present in a periphery of a vehicle and the vehicle is a predetermined degree or more, a relative position acquirer configured to acquire a relative position of the vehicle with respect to a traveling lane along which the vehicle travels, and an evaluator configured to refer to the relative position acquired by the relative position acquirer and thereby evaluate a driver's skill in driving the vehicle as higher as the vehicle travels at a position closer to a center of the traveling lane, the evaluator excluding an interval in which it is determined by the approach determiner that the degree of approach is a predetermined degree or more from a target for evaluation.