Driver Behavior Engine Using Map Data Evaluation Curves
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Solution Overview
Problem
Existing vehicle monitoring systems fail to accurately analyze driver behavior in the context of real-world paths and do not provide continuous evaluation of driving performance, limiting their effectiveness in improving driving safety and reducing operational costs.
Innovation Solution
A system that uses vehicle sensors and map data to generate evaluation curves, calculating mathematical differences between actual and optimal driving curves to assess driver performance, with a warning module to alert drivers of hazardous behaviors and provide continuous feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If existing vehicle monitoring systems use discrete analysis methods, then the system complexity is reduced, but the evaluation continuity and accuracy of driver performance deteriorates
Solution Approach 1:
The patent implements continuous evaluation of driver performance by continuously comparing actual driving behavior against evaluation curves generated from map data, replacing discrete analysis with an ongoing continuous assessment process that maintains both accuracy and manageable system complexity
Solution Approach 2:
The system dynamically generates evaluation curves based on real-time map data and vehicle context, allowing the evaluation criteria to adapt continuously to changing driving conditions rather than using static discrete thresholds, thereby improving measurement precision without proportionally increasing system complexity
2Measurement precision
If the system provides continuous evaluation of driver performance, then the measurement precision improves, but the loss of information and processing requirements increase
Solution Approach 1:
The patent extracts only the essential evaluation parameters needed for driver performance assessment from the continuous data stream, comparing key metrics against pre-generated evaluation curves rather than processing all raw sensor data, thereby maintaining high measurement precision while reducing information loss and processing requirements
Solution Approach 2:
The system performs preliminary generation of evaluation curves from map data before actual driving evaluation, preparing reference standards in advance so that continuous comparison during driving requires minimal real-time processing, thus improving evaluation accuracy without proportionally increasing data processing load
3Measurement precision
If the system analyzes driver behavior in the context of map data, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent introduces map data as an intermediary layer between raw sensor data and driver behavior evaluation, using the map context to translate physical measurements into meaningful behavioral assessments, thereby improving measurement precision while managing system complexity through the mediating role of pre-processed map information
Data Source
AI summary
A system that monitors, records and analyzes driver performance includes a server having: a map data access module that retrieves map data elements indicating various features associated with at least one path of at least one vehicle including a set of previously-defined segments having a set of associated points including a set of associated attributes having a set of fixed attributes; a communication module that receives information from the at least one vehicle, the received information including data from an in-vehicle system including sensors associated with the at least one vehicle; a driver behavior engine that monitors and evaluates driver performance based on the received information by: generating evaluation curves based on the retrieved set of map data elements; and calculating mathematical differences between each evaluation curve and corresponding performance curves generated based on the set of measured driving characteristics for a particular driver and a particular trip.