US 12,449,269 B2
Methods and apparatus to compress telematics data
Alexander Gataric, Normal, IL (US)
Assigned to STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY, Bloomington, IL (US)
Filed on Mar. 27, 2024, as Appl. No. 18/618,890.
Application 18/618,890 is a continuation of application No. 17/980,870, filed on Nov. 4, 2022, granted, now 12,013,253.
Application 17/980,870 is a continuation of application No. 17/022,788, filed on Sep. 16, 2020, granted, now 11,519,745, issued on Dec. 6, 2022.
Application 17/022,788 is a continuation in part of application No. 16/379,453, filed on Apr. 9, 2019, granted, now 11,372,902, issued on Jun. 28, 2022.
Prior Publication US 2024/0240958 A1, Jul. 18, 2024
Int. Cl. G01C 21/36 (2006.01); G01C 21/34 (2006.01); G06F 16/29 (2019.01)
CPC G01C 21/3617 (2013.01) [G01C 21/3461 (2013.01); G01C 21/3492 (2013.01); G01C 21/367 (2013.01); G06F 16/29 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, executed by a processor, to represent telematics data, the computer-implemented method comprising:
generating, with the processor, a series of simplified straight lines representing a trip based on first telematics data including a series of points representing the trip;
representing, with the processor, a physical traversal through a physical intersection of roads captured in the first telematics data by one or more pairs of ordinals determined based on the series of simplified straight lines, wherein for each pair of ordinals, of the one or more pairs of ordinals:
each ordinal of the pair of ordinals represents a respective road of the physical intersection,
each ordinal of the pair of ordinals represents a speed limit associated with a respective road of the physical intersection, or
each ordinal of the pair of ordinals represents a characteristic associated with a respective road of the physical intersection; and
storing, with the processor, the one or more pairs of ordinals as second telematics data.