公开(公告)号：US20250054041A1

公开(公告)日：2025-02-13

申请号：US18932168

申请日：2024-10-30

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Joseph R. Brannan ,  Benjamin J. Tucker ,  Ryan M. Gross ,  Michael A. Myers ,  Darwin G. Beachy ,  M. Eric Riley, SR. ,  Brian N. Harvey

IPC: G06Q30/0601 ,  G06Q10/20 ,  G06Q30/0283 ,  G07C5/00

Abstract: Provided herein is a computing system including a processor in communication with at least one memory. The processor is configured to (i) build a model using historical vehicle telematics data and historical vehicle data, the model configured to: (a) predict an operating cost of a vehicle based upon a vehicle type and user data and (b) output operational parameters for operating the vehicle, (ii) receive a vehicle acquisition request for a selected vehicle including vehicle data for the selected vehicle and selected user data for the user of the selected vehicle, (iii) input the vehicle acquisition request data into the model, and (iv) output from the model an acquisition cost and operational parameters for the selected vehicle and the selected user including a procurement cost for the selected vehicle and an operating cost for operating the selected vehicle within the operational parameters for a predetermined time period.

公开(公告)号：US20240062307A1

公开(公告)日：2024-02-22

申请号：US17979744

申请日：2022-11-02

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Ryan Michael Gross ,  M. Eric Riley, SR. ,  Jody Ann Thoele ,  Jordan Jeffers ,  Shawn Renee Harbaugh ,  Rick Lovings ,  Joann C. Yant ,  Jenny L. Jacobs

IPC: G06Q40/08 ,  G06V20/56 ,  G06V20/10

CPC classification number: G06Q40/08 ,  G06V20/56 ,  G06V20/188 ,  G06Q50/02

Abstract: Techniques for using connected vehicles as secondary data sources to confirm weather data and other triggering crop-damaging events associated with agriculture and agribusinesses, and mitigation techniques associated therewith are provided, including (1) determining indication of a weather event associated with a location of interest; (2) determining possible mitigation techniques for mitigating damage caused by the weather event; (3) receiving indications of location data associated with vehicles/passengers; (4) comparing the location data to a location of interest in order to identify vehicles/passengers within a proximity of the location of interest; (5) receiving sensor data captured by sensors associated with the identified vehicles; and (6) determining, based upon the sensor data captured by the sensors associated with the identified vehicles over a period of time, whether any of the possible mitigation techniques have been performed at the location of interest over the period of time.