Telematics Intersection Isolation via Bounding Box Filtering
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Solution Overview
Problem
Current telematics data analysis methods are processor-intensive due to the volume of sensor data and often simplify data before identifying relevant locations, wasting resources on non-relevant data points.
Innovation Solution
The method uses bounding boxes to isolate raw telematics data points associated with specific intersections or road segments, reducing processor burden by directly joining data points to predefined areas of interest before analysis, and comparing average accelerations to determine safety measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If telematics data is simplified prior to identifying locations, then the total number of data points is reduced, but processor time and resources are still consumed on non-relevant data points
Solution Approach 1:
The patent applies preliminary action by pre-defining bounding boxes for intersections and road segments before processing telematics data. This allows the system to quickly filter data points based on their spatial relationship with pre-established geometric representations of locations of interest, avoiding unnecessary processing of irrelevant data points while maintaining location identification accuracy.
2Productivity
If telematics data is simplified prior to identifying locations, then data processing burden is reduced, but computational resources are wasted on non-relevant data
Solution Approach 1:
The patent extracts only the relevant portion of telematics data by using bounding boxes to isolate data points that are spatially associated with intersections or road segments. This extraction approach removes unnecessary data processing steps for non-relevant data points, significantly reducing computational resource consumption while preserving the integrity of location-related analysis.
Solution Approach 2:
The system performs preliminary action by pre-computing and storing bounding box representations of intersections and road segments before data processing. This preliminary preparation enables rapid spatial filtering of telematics data, improving processing efficiency and reducing energy consumption by avoiding analysis of irrelevant data points.
3Speed
If raw telematics data points are directly joined to predefined areas of interest, then processing speed is improved, but data validation complexity increases
Solution Approach 1:
The patent introduces bounding boxes as intermediary geometric representations that mediate between raw telematics data points and location identifiers. These bounding boxes serve as a simple spatial filter that enables direct joining of data points to predefined areas of interest, achieving fast processing while maintaining validation simplicity through clear spatial relationships.
Data Source
AI summary
An example method includes obtaining raw telematics data from a vehicle trip; comparing bounding boxes associated with respective intersections to the raw telematics data points from the vehicle trip in order to isolate points that are within bounding boxes associated with intersections and validating that the raw telematics data points within a bounding box associated with an intersection are associated with an actual traversal of the intersection by comparing a line created by combining the raw telematics data points within the bounding box to a spatial average line for other trips through the intersection. For each intersection, an a determining, for each intersection, an average acceleration of the portion of the vehicle trip through the intersection may be compared to the average acceleration of trips through the intersection by other vehicles in order to determine a measure of safety associated with the portion of the vehicle trip through the intersection.