Abstract: A template generation system for generating document templates from a mixed set of document types including a template generation server programmed to receive a batch of documents, identify a plurality of text blocks, generate a plurality of clusters, generate a plurality of document arrays corresponding to the plurality of clusters, and compare each document array to each other document array to determine a percentage match. When the percentage match between two or more frameworks exceeds a threshold, the template generation system defines a subset of documents, and for each subset of documents, template generation system generates a template for the subset of documents. The template is a collection of the text blocks that are commonly included in each of the documents of the subset.

Abstract: 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.

Abstract: Example methods, apparatus, and articles of manufacture to compress telematics data are disclosed herein. An example computer-implemented method includes identifying, using one or more processors, a portion of recorded telematics data representing a physical transversal of a physical intersection of two or more road segments, wherein each road segment has an assigned unique ordinal value; identifying, using one or more processors, a first road segment on which the physical transversal entered the intersection; identifying, using one or more processors, a second road segment on which the physical transversal exited the intersection; identifying, using one or more processors, a pair of ordinal values including a first ordinal value assigned to the first road segment, and a second ordinal value assigned to the second road segment; and storing the pair of ordinal values instead of the portion of the recorded telematics data in a compressed representation of the recorded telematics data.

Abstract: Example methods, apparatus, and articles of manufacture to compress telematics data are disclosed herein. An example computer-implemented method includes identifying, using one or more processors, a portion of recorded telematics data representing a physical transversal of a physical intersection of two or more road segments, wherein each road segment has an assigned unique ordinal value; identifying, using one or more processors, a first road segment on which the physical transversal entered the intersection; identifying, using one or more processors, a second road segment on which the physical transversal exited the intersection; identifying, using one or more processors, a pair of ordinal values including a first ordinal value assigned to the first road segment, and a second ordinal value assigned to the second road segment; and storing the pair of ordinal values instead of the portion of the recorded telematics data in a compressed representation of the recorded telematics data.

Abstract: 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.

Abstract: 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.

Abstract: Techniques for using vehicle telematics data for high speed determination of intersection traversals are provided. Telematics data from a vehicle trip may be obtained and compared to an area associated with an intersection to attempt to isolate telematics data points that are within the intersection. A simplified line generated based on the isolated telematics data points is then compared to vector lines representing entrances and exits of the intersection to attempt to identify an intersection entrance and exit from the vehicle trip. The simplified line is then compared to an average simplified line representing trips of other vehicles through the same entrance and exit of the same intersection to determine whether the vehicle turned through the intersection. If it is determined that the vehicle turned through the intersection, the telematics data associated with the vehicle trip may be compared to telematics data associated with other vehicle trips through the intersection.

Abstract: 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.

Abstract: Example methods, apparatus, and articles of manufacture to compress telematics data are disclosed herein. An example computer-implemented method includes identifying, using one or more processors, a portion of recorded telematics data representing a physical transversal of a physical intersection of two or more road segments, wherein each road segment has an assigned unique ordinal value; identifying, using one or more processors, a first road segment on which the physical transversal entered the intersection; identifying, using one or more processors, a second road segment on which the physical transversal exited the intersection; identifying, using one or more processors, a pair of ordinal values including a first ordinal value assigned to the first road segment, and a second ordinal value assigned to the second road segment; and storing the pair of ordinal values instead of the portion of the recorded telematics data in a compressed representation of the recorded telematics data.

Abstract: 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.