Behavioral Scoring Using Speed-Adjusted Line Lengths
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for analyzing usage-based data from physical systems, such as automobiles, fail to accurately differentiate between safe and risky behaviors, as they treat all line segment lengths equally without considering initial and final speeds or operational conditions, leading to inaccurate risk assessments.
Innovation Solution
A novel method using a generalized line length formula (Equation 3) that adjusts line lengths based on initial and final speeds, and incorporates additional parameters like time of day, weather, and geographic location, along with slope and area under the curve metrics, to provide a more nuanced behavioral scoring system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional line length methods are used to analyze usage-based data, then the analysis process is simple, but the measurement precision of behavioral differentiation is poor
Solution Approach 1:
The patent transforms the simple line length metric into a multi-parameter behavioral score by incorporating initial speed, final speed, and slope calculations. This changes the parameters being measured from a single distance value to multiple dynamic parameters that collectively provide precise behavioral differentiation while maintaining computational feasibility
Solution Approach 2:
The patent adds temporal and velocity dimensions to the traditional spatial line length measurement. By incorporating speed variations and slope (rate of change) calculations, the analysis transitions from a one-dimensional distance metric to a multi-dimensional behavioral assessment that captures the dynamics of operation
2Reliability
If all line segments are treated equally without considering operational conditions, then the analysis method is simple, but the reliability of risk assessment is poor
Solution Approach 1:
The patent applies different analytical treatments to different segments of the usage data based on their operational characteristics. By calculating slope and considering speed variations for each line segment individually, the method assigns different weights and meanings to different portions of the data, thereby improving risk assessment reliability through localized analysis
Solution Approach 2:
The patent incorporates feedback mechanisms by using the calculated behavioral scores to refine risk assessments. The system continuously processes usage data, generates behavioral metrics, and uses these metrics to inform risk evaluation, creating a closed-loop system that improves reliability through iterative assessment
3Loss of information
If basic line length measurement is used, then the data processing is fast, but the information completeness for behavioral analysis is insufficient
Solution Approach 1:
The patent performs preliminary calculations of slope and speed metrics during the data processing stage rather than as separate subsequent analyses. By pre-computing these behavioral indicators alongside the line length measurements, the system captures complete behavioral information without requiring additional processing time, thus maintaining productivity while reducing information loss
Data Source
AI summary
A method for creating a score or value based on the difference between non-expert and expert usage based data. The score or value may be used in variety of situations such as assessing risk, training, operator classification, and identifying expertise level of an operator.