Driving Event Performance Variable Calculation
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Solution Overview
Problem
Current vehicle monitoring systems rely on simple threshold mechanisms to evaluate driver performance, which fail to recognize complex or nuanced driving patterns, leading to inadequate safety and efficiency assessments.
Innovation Solution
A method and system that determine an event performance variable (EPV) by identifying driving events, retrieving relevant sensor data and environmental factors, and applying a mathematical relationship to calculate a value representing the severity, safety, and fuel efficiency of each event, using a combination of indicators and pre-determined coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If simple threshold mechanisms are used to evaluate driver performance, then the system complexity is low and ease of operation is high, but the measurement precision and reliability of driver performance evaluation deteriorate
Solution Approach 1:
The patent transforms the evaluation from simple threshold-based binary classification to a multi-parameter continuous assessment system. It introduces multiple indicators (speed, acceleration, steering angle, etc.) and uses regression analysis to calculate event performance variables, thereby improving measurement precision without requiring complex hardware changes
Solution Approach 2:
The patent introduces mathematical models and regression analysis as intermediaries between raw sensor data and driver performance evaluation. These intermediaries process the raw data through standardized formulas to produce objective event performance variables, improving evaluation accuracy while maintaining system manageability
2Reliability
If traditional threshold-based systems are used, then the ease of operation is maintained, but the ability to recognize complex driving patterns and provide comprehensive safety assessment deteriorates
Solution Approach 1:
The patent segments the driving session into discrete driving events (acceleration events, braking events, turning events, etc.) and evaluates each event separately using type-specific indicators and formulas. This segmentation allows comprehensive safety assessment while keeping each evaluation module simple and manageable
Solution Approach 2:
The patent creates a universal evaluation framework that handles multiple types of driving events through a common structure. The same basic process (identify event type → select indicators → apply formula → calculate EPV) applies to all event types, enabling comprehensive assessment while maintaining system simplicity through standardized procedures
3Measurement precision
If multiple indicators and mathematical relationships are used to determine event performance variables, then the measurement precision and comprehensiveness of driver performance evaluation improve, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent uses mathematical transformations to convert multiple raw sensor parameters into a single event performance variable through regression analysis. This parameter transformation approach maintains high measurement precision by considering multiple factors while simplifying the output to a single comprehensive metric that is easy to interpret and use
Data Source
AI summary
Methods and systems are provided for determining a value of an event performance variable associated with a driving event, and/or for determining a session performance variable associated with at least one driving session. The method comprising: identifying a driving event which occurred during a driving session of a vehicle; providing a plurality of indicators associated with such a driving event; retrieving respective values for each of the plurality of indicators from one or more sensors located in the vehicle being driven; providing a mathematical relationship that represents the event performance variable as a function of the plurality of indicators, wherein the mathematical relationship represents an event of the type characterizing the identified driving event; and determining value of the event performance variable based on the mathematical relationship provided, by applying the values retrieved for each of the plurality of indicators.