Telematics Turn Path Extraction for Accurate Intersection Averages
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Solution Overview
Problem
Current methods struggle to accurately determine vehicle paths through intersections using telematics data due to variations in intersection geometry and vehicle maneuvers, such as turns, U-turns, and parking lot entries, which are difficult to distinguish.
Innovation Solution
A method involving telematics data processing to isolate and simplify vehicle path data, calculate geometric median points, and generate an average spatial path by joining these points, excluding outliers based on spatial and angular thresholds, thereby creating a refined definition of intersection turns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If detailed vehicle path data from multiple vehicles is collected and processed to determine accurate turn paths through intersections, then measurement precision of vehicle paths is improved, but processing time and computational complexity increase
Solution Approach 1:
The patent segments the vehicle path data processing into distinct stages: collecting raw telematics data from multiple vehicles, identifying and isolating spatial data points within intersection boundaries, filtering out non-turning trips using geometric criteria, and computing average turn paths. This segmentation allows efficient processing at each stage while maintaining overall accuracy.
Solution Approach 2:
The patent applies preliminary filtering actions before full path computation by first identifying vehicles that actually entered the intersection using spatial thresholds, and further filtering to identify only those making turns versus U-turns or straight-through movements. This preliminary classification prevents unnecessary computation on irrelevant data sets.
2Ease of operation
If pre-defined road data is used to identify intersection turns, then ease of operation is improved, but adaptability to different intersection geometries and configurations deteriorates
Solution Approach 1:
The system uses the vehicles' own telematics data to automatically define and identify intersection boundaries and turn paths without requiring external pre-defined road data. The geometric criteria for identifying intersections and turn patterns are derived self-consistently from the collected vehicle trajectory data, making the system adaptable to any intersection configuration.
Solution Approach 2:
The patent changes the approach from using fixed pre-defined road parameters to dynamically computing geometric parameters (such as intersection boundaries, entry/exit points, and turn angles) from the actual vehicle trajectory data. This allows the system to adapt to different intersection geometries, lane configurations, and road layouts without requiring pre-programmed road maps.
3Quantity of substance
If all vehicle trips through an intersection are included in the analysis, then quantity of data is improved, but measurement precision of actual turn paths deteriorates due to inclusion of non-turning trips
Solution Approach 1:
The patent extracts and separates the relevant subset of vehicle trips that actually represent turns through the intersection from the broader set of all trips passing through the intersection area. By applying geometric criteria to identify and extract only turn-based trajectories while excluding U-turns, straight-through movements, and parking lot entries, the system maintains high measurement precision while utilizing sufficient data volume.
Data Source
AI summary
Techniques for collapse of driving data to determine spatial averages of vehicle paths determining a spatial average vehicle path through a turn of within an intersection from a plurality of vehicles are provided. The telematics data may include plurality of spatial data points for each respective vehicle trip. Spatial data points associated with the turn of interest from each respective vehicle may be isolated and ordered chronologically, and converted into respective lines. A number of equally spaced points may be placed along each respective line, and a number of geometric median points may be determined by averaging each of the points along each of the respective lines. An average simplified line representing the spatial average vehicle path through the turn of the intersection may be generated based on the number of geometric median points.