Driver Performance Rating via Nominal Speed Profile Comparison
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Solution Overview
Problem
Determining an ideal driving behavior for comparison across various road and driving conditions is challenging due to factors like time of day, weather, and traffic volume, making it difficult to assess driver performance uniformly.
Innovation Solution
A system that calculates a smoothness rating by generating a nominal velocity profile based on vehicle speed data from multiple vehicles on the same road segment, comparing it to individual vehicle data, and providing feedback through a display, using a processor to communicate this rating to a vehicle computing system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If driver performance is compared to a fixed target performance, then measurement simplicity is improved, but measurement precision deteriorates due to varying road and driving conditions
Solution Approach 1:
The system dynamically adjusts the reference performance profile based on road characteristics, traffic conditions, weather, and time of day. Instead of using a fixed target performance, the system creates context-specific nominal profiles that adapt to varying driving conditions, thereby maintaining measurement precision without excessive complexity
Solution Approach 2:
The system changes the reference parameter from a single fixed target value to a variable nominal profile that incorporates multiple parameters (road type, traffic volume, weather conditions, time of day). This allows the performance assessment to account for different driving contexts while maintaining a structured evaluation framework
2Ease of operation
If individual driver behavior is assessed without contextual data, then ease of operation is improved, but measurement precision deteriorates due to lack of condition-specific benchmarks
Solution Approach 1:
The system introduces a nominal profile as an intermediary between raw driver behavior data and performance evaluation. This nominal profile serves as a context-specific benchmark that mediates the comparison, allowing automated assessment while accounting for varying driving conditions through aggregated historical data from multiple drivers
Solution Approach 2:
The system uses feedback from aggregated driver behavior data to continuously refine and update nominal profiles for different road segments and conditions. This feedback mechanism ensures that the reference standards remain accurate and relevant while enabling automated, context-aware performance assessment
Data Source
AI summary
A method of rating driver effectiveness based on vehicle data compared to other vehicles that have driven over the same road segment includes storing driving speed data over a road segment for a plurality of vehicles. The method further includes calculating a nominal speed profile for the road segment based on the driving speed data. The method further includes comparing a speed profile of a subject vehicle to the nominal speed profile for the road segment and displaying a smoothness rating of the subject vehicle based on deviation of the speed profile from the nominal speed profile.