Driving Evaluation Device Speed-Range Segmentation
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Solution Overview
Problem
Existing driving evaluation devices do not accurately differentiate between speed ranges of vehicles, leading to suboptimal diagnosis and advice, as they use a single diagnosis method regardless of varying speed conditions.
Innovation Solution
A driving evaluation device that acquires vehicle information, including speed, and adjusts its evaluation method based on the maximum speed of each trip, calculating an economical level by weighting the change in speed differently for high-speed and low-speed trips, using a processor to determine the contribution of smallness in vehicle speed to the evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the same diagnosis method is used for all speed ranges, then the device complexity is reduced and ease of operation is improved, but the measurement precision and reliability of the evaluation deteriorate
Solution Approach 1:
The patent segments the evaluation process by dividing trips into high-speed trips (maximum speed ≥ predetermined speed) and low-speed trips (maximum speed < predetermined speed). Different evaluation methods are applied to each segment, with the smallness of change in vehicle speed being a primary evaluation criterion for high-speed trips, while other criteria are used for low-speed trips. This segmentation resolves the contradiction by improving measurement precision through speed-range-specific evaluation while managing device complexity through systematic classification.
Solution Approach 2:
The patent changes the evaluation parameters based on the maximum speed of each trip. For high-speed trips, the evaluation focuses on the smallness of change in vehicle speed, whereas for low-speed trips, different evaluation parameters are used. This dynamic parameter adjustment improves measurement precision by adapting the evaluation criteria to the specific operating conditions, resolving the contradiction between accurate evaluation and method complexity.
2Measurement precision
If the evaluation method is changed based on maximum speed, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent implements a dynamic evaluation system where the evaluation method automatically adapts based on the maximum speed detected during each trip. The system dynamically switches between different evaluation criteria (prioritizing smallness of change in vehicle speed for high-speed trips versus other criteria for low-speed trips) without requiring manual intervention. This dynamic adaptation improves measurement precision while managing complexity through automated decision-making logic.
Solution Approach 2:
The evaluation parameters are changed based on the detected maximum speed of each trip. When the maximum speed reaches or exceeds a predetermined threshold, the system switches to an evaluation method that prioritizes the smallness of change in vehicle speed. This parameter-based adaptation improves measurement precision by matching evaluation criteria to actual operating conditions, while the automated nature of the parameter change manages the complexity burden.
3Reliability
If speed range differentiation is implemented, then the reliability of evaluation is improved, but the ease of operation deteriorates
Solution Approach 1:
The evaluation system performs self-service by automatically detecting the maximum speed of each trip and selecting the appropriate evaluation method without requiring user input or manual configuration. The system independently determines whether a trip is high-speed or low-speed and applies the corresponding evaluation criteria, thereby improving reliability through consistent, condition-based evaluation while maintaining ease of operation through automation.
Solution Approach 2:
The system automatically changes evaluation parameters based on the maximum speed parameter of each trip. This automated parameter adjustment improves evaluation reliability by ensuring that appropriate criteria are applied to different speed conditions, while the lack of manual intervention requirements maintains ease of operation. The system handles the complexity of differentiation internally without burdening the user.
Data Source
AI summary
A driving evaluation device includes a processor. The processor is configured to acquire vehicle information including a vehicle speed in each trip of a vehicle, evaluate an economical level of each trip of the vehicle based on smallness of change in vehicle speed, and change an evaluation method of the economical level based on the smallness of the change in vehicle speed according to the maximum speed in each trip.