Vehicle Operator Risk Profiling for Fleet Performance Assessment

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Solution Overview

Problem

Existing fleet management systems lack an effective method to utilize risk profiles to assess and compare the performance levels of vehicle operators based on historical vehicle event data.

Innovation Solution

A system and method that utilize risk profiles to characterize the likelihood of vehicle events, allowing for the determination of performance metrics for vehicle operators. This involves obtaining and comparing risk profiles specific to contexts and operators, along with vehicle event characterization information, to assess operator performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If fleet management systems record and store vehicle event data, then the quantity of available performance assessment data increases, but the complexity of processing and analyzing this data to generate meaningful performance metrics increases

Engineering Contradiction:

Improvequantity of vehicle event dataVSAvoidcomplexity of performance assessment system

Core Design Contradiction:

Quantity of substanceVSDevice complexity

Solution Approach 1:

The system segments the large volume of vehicle event data into structured categories including context information, operator information, and event characteristics. This segmentation is achieved through obtaining risk profiles specific to different contexts and operators, which organize raw data into manageable, analyzable components that can be processed systematically to generate performance metrics.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces risk profiles as intermediary structures that mediate between raw vehicle event data and performance assessment metrics. These risk profiles serve as a intermediate layer that pre-processes and contextualizes data, making the subsequent performance assessment process more efficient and less complex by providing structured input data with embedded contextual understanding.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If the system obtains and compares multiple risk profiles (context-specific and operator-specific) to assess performance, then the precision of performance measurement improves, but the time and computational resources required for assessment increase

Engineering Contradiction:

Improveprecision of operator performance measurementVSAvoidtime for performance assessment

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by obtaining and storing risk profiles for different contexts and operators in advance of actual performance assessment. These pre-computed risk profiles contain pre-analyzed data about contextual factors and operator characteristics, allowing the system to quickly retrieve and compare relevant profiles during assessment without performing complex analysis in real-time, thus reducing assessment time while maintaining precision.

Inventive Principle:

Principle #10Preliminary action

3Manufacturing precision

If the system processes detailed vehicle event information including locations and event types, then the accuracy of performance evaluation improves, but the difficulty of detecting and measuring performance parameters increases

Engineering Contradiction:

Improveaccuracy of performance evaluationVSAvoiddifficulty of measuring operator performance

Core Design Contradiction:

Manufacturing precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The system applies local quality by obtaining risk profiles that are specific to particular contexts and operators rather than using uniform assessment criteria for all cases. This allows the performance evaluation to adapt to local characteristics of different driving contexts and individual operator tendencies, improving accuracy by considering site-specific and operator-specific factors in the performance measurement process.

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS20250123625A1Systems and methods for using risk profiles based on previously detected vehicle events to quantify performance ofvehicle operators

Publication Date: 2025.04.17 SMARTDRIVE SYSTEMS INC

AI summary

Systems and methods for using risk profiles for fleet management of a fleet of vehicles are disclosed. Fleet management may include determining the performance levels of particular vehicle operators. The risk profiles characterize values representing likelihoods of occurrences of vehicle events. The values are based on vehicle event information for previously detected vehicle events. Exemplary implementations may: receive, from a particular vehicle, particular vehicle event information for particular vehicle events that have been detected by the particular vehicle; determine one or more metrics that quantify a performance level of the particular vehicle operator, based on the risk profiles; compare the one or more metrics for the particular vehicle operator with aggregated metrics that quantify performance levels of a set of vehicle operators; and store, transfer, and/or present results of the comparison.