US 11,856,061 B2
Using contextual information for vehicle trip loss risk assessment scoring
Krishna Nemmani, McKinney, TX (US); Zebediah Robert Black, Wylie, TX (US); Corey Casmedes, Plano, TX (US); Hoang Dang, Garland, TX (US); Yuncheng Gao, Garland, TX (US); Tyler Hargreaves, Flower Mound, TX (US); John Steven Kirtzic, Plano, TX (US); Zongzhe Li, Richardson, TX (US); Einar Longva, Manhattan, NY (US); Victor Mao, Export, PA (US); Trac Nguyen, Norcross, GA (US); Sivarama Kirshna Panguluri, McKinney, TX (US); Dalton Sherer, Richardson, TX (US); and Edward Yang, Frisco, TX (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 Oct. 31, 2022, as Appl. No. 18/051,409.
Application 18/051,409 is a continuation of application No. 17/111,933, filed on Dec. 4, 2020, granted, now 11,516,295.
Claims priority of provisional application 62/944,821, filed on Dec. 6, 2019.
Prior Publication US 2023/0089020 A1, Mar. 23, 2023
Int. Cl. H04L 67/12 (2022.01)
CPC H04L 67/12 (2013.01) 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, at a vehicle and by a computing device comprising one or more processors, driver activity information indicative of an operation of the vehicle by a driver;
receiving, by the computing device, context information indicative of an environment at a particular time and a particular location, the context information including at least one of weather conditions, traffic conditions, or construction activity at the particular location and at the particular time;
determining, by the computing device and based at least in part on the particular time and the particular location, that the driver activity information is correlated with the context information;
generating, by the computing device and based at least in part on determining that the driver activity information is correlated with the context information, a data set having a type of event field associated with the driver activity information, wherein the type of event field includes a first index and a second index, the first index indicating a type of driver activity and the second index indicating a subtype of the driver activity; and
sending, to one or more servers, the data set, wherein the one or more servers are configured to generate a score based at least in part on the data set.