Driving Quality Assessment Using Condition-Aware Vehicle Metrics
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Solution Overview
Problem
Conventional methods for assessing vehicle driving quality are limited in providing comprehensive information and flexibility, and are difficult for driving instructors to perform effectively from a passenger seat.
Innovation Solution
A system and method that utilizes various driving condition information indicating devices to receive and analyze driving metrics, allowing for the determination and indication of driving quality, which can be provided to drivers, instructors, or insurance providers through user interfaces and maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If visual checking of speedometer reading is used to assess driving quality, then the assessment can be performed with simple equipment, but the amount of information provided is limited and it is difficult for driving instructors to perform effectively from passenger seat
Solution Approach 1:
The patent replaces manual visual assessment with an automated electronic system that collects driving data through sensors and processors. The system substitutes the mechanical/visual method of checking speedometer readings with electronic data collection and automated analysis, enabling comprehensive driving quality assessment without requiring the instructor to manually monitor instruments
Solution Approach 2:
The system provides multiple functions including speed monitoring, route tracking, timing, and automated quality assessment through a single integrated platform. This multi-functional approach replaces multiple separate assessment tasks with one comprehensive system that delivers extensive driving information simultaneously
2Device complexity
If conventional techniques are used to assess driving quality, then the system remains simple, but the flexibility in providing information is minimal
Solution Approach 1:
The system dynamically adjusts information provision based on driving conditions and user needs. It provides real-time feedback during driving and detailed reports afterward, adapting the level and type of information delivered. The system can modify assessment parameters and information presentation to suit different driving scenarios and user requirements
Solution Approach 2:
The system implements continuous feedback loops where driving data is collected, analyzed, and returned to the driver or instructor for quality assessment. This feedback mechanism enables flexible information provision by automatically adjusting assessments based on actual driving performance, providing actionable insights rather than static evaluations
Data Source
AI summary
A computer-implemented method for determining a quality of driving of a vehicle is presented. Information indicating at least one driving condition may be received from at least one driving condition information indicating device. The at least one driving condition may be different from each of a plurality of driving metrics, and may affect a relationship between the quality of driving and at least one of the plurality of driving metrics. Information indicating the at least one driving metric may be received. At least one indication of the quality of driving of the vehicle may be determined based on the information indicating the at least one driving metric and the received information from the at least one driving condition information indicating device. The at least one indication of the quality of driving may be provided to at least one of the driver, a driving instructor, or an insurance provider.