Intersection Telematics Compression Using Virtual Line Ordinals
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Solution Overview
Problem
Conventional telematics systems struggle with processing large volumes of spatial and temporal driving data, particularly when vehicles traverse intersections multiple times, leading to inefficiencies in data storage and analysis.
Innovation Solution
The system employs a method to represent telematics data using simplified straight-line segments and virtual lines around intersections, assigning ordinals to these segments, which allows for efficient compression and analysis of intersection traversals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional telematics systems store and process all raw spatial and temporal driving data, then complete driving behavior analysis is achieved, but data storage requirements and processing time increase significantly
Solution Approach 1:
The patent segments continuous driving trajectories into discrete intersection traversal events. By identifying and extracting only the relevant intersection crossing portions from the continuous GPS data stream, the system separates essential analytical information (intersection traversals) from redundant data (intersections between points), significantly reducing storage requirements while preserving driving behavior analysis capability
Solution Approach 2:
The patent extracts and stores only the critical subset of telematics data representing intersection traversals. Using virtual lines and ordinals, the system isolates and retains merely the essential information needed for driving behavior analysis at intersections, discarding unnecessary spatial-temporal details while maintaining analytical integrity
2Reliability
If conventional telematics systems process detailed temporal data for each intersection traversal, then accurate driving behavior classification is achieved, but processing complexity and time increase
Solution Approach 1:
The patent transforms complex temporal-spatial trajectory data into simplified ordinal parameters representing intersection traversal sequences. By converting continuous GPS coordinates and timestamps into discrete ordinal values that represent traversal order and direction, the system maintains classification accuracy while dramatically reducing processing complexity
Solution Approach 2:
The patent creates a simplified symbolic representation (copy) of the actual driving trajectory using virtual lines and ordinals. This abstract model captures the essential characteristics of intersection traversals needed for behavior classification without requiring processing of the full detailed trajectory data, reducing computational burden while preserving analytical accuracy
3Quantity of substance
If simplified straight-line segments are used to represent travel paths, then data compression is achieved, but precision in representing actual vehicle trajectories may be reduced
Solution Approach 1:
The patent pre-processes and simplifies trajectories into straight-line segments between intersections before storage. By performing this simplification in advance during data ingestion rather than during analysis, the system reduces storage requirements while ensuring that the simplified representation is optimized for its intended analytical purpose (intersection traversal detection)
Solution Approach 2:
The patent introduces virtual lines as intermediary elements that mediate between the simplified straight-line segments and the actual vehicle trajectories. These virtual lines serve as reference frameworks that enable accurate intersection traversal detection even when the actual path deviates from straight lines, bridging the gap between simplified representation and trajectory accuracy
Data Source
AI summary
Example methods, apparatus, and articles of manufacture to capture and compress telematics data are disclosed herein. An example computer-implemented method, executed by a processor, to represent telematics data includes identifying, with the processor, a physical intersection of roads, identifying, with the processor, virtual lines crossing the roads, assigning, with the processor, ordinals to the virtual lines, representing, with the processor, a physical traversal through the physical intersection captured in first telematics data by a pair of the ordinals, and storing the pair of the ordinals in second compressed telematics data.