Systems and methods for generating vehicle insurance policy data based on empirical vehicle related data

• US 9,779,458 B2
• Filed: 03/10/2014
• Issued: 10/03/2017
• Est. Priority Date: 03/10/2013
• Status: Expired due to Fees

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Hayward, Gregory, Christensen, Scott T., Gay, Christopher E., Cielocha, Steven, Binion, Todd
• Primary Examiner(s): Shaikh, Mohammad Z
• Application Number:
  US14/203,349
• Publication Number:
  US 20140257873A1
• Time in Patent Office: 1,303 Days
• Field of Search: 705 4, 705 35- 42
• CPC Class Codes: B60C 1/00 Tyres characterised by the chemical composition or the physical arrangement or mixture of the composition
• CPC Class Codes: B60Q 1/00 Arrangement of optical signalling or lighting devices, the mounting or supporting thereof or circuits therefor for lighting vehicle interior B60Q3/00
• CPC Class Codes: B60R 25/20 Means to switch the anti-theft system on or off
• CPC Class Codes: G06Q 10/0635 Risk analysis of enterprise or organisation activities
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0208 Trade or exchange of goods or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/00 Registering or indicating the working of vehicles
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G08G 1/096838 where the user preferences are taken into account or the user selects one route out of a plurality
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

The present disclosure generally relates to a computer implemented system and method for automatically generating insurance policy related data. The system and method may determine a vehicle operator and generate empirical vehicle operator identity data. The system and method may further acquire empirical vehicle operation data related to the actual vehicle operator, and correlate the empirical vehicle operator identity data and the empirical vehicle operation data to generate vehicle insurance policy related data. The system and method may further include processing one or more insurance options, including underwriting and pricing, based at least in part on the vehicle insurance policy related data.

Claims

1. A computer implemented method for automatically generating insurance policy related data, the method comprising:

receiving, by one or more processors associated with a server, vehicle operator identity data representative of each of a plurality of vehicle operators, the vehicle operator identity data including (i) data representative of one or more identifiable physical aspects of each of the plurality of vehicle operators, and (ii) an image of each of the plurality of vehicle operators;

determining, by the one or more processors associated with the server, an identity of each of the plurality of vehicle operators based on the vehicle operator identity data;

changing, by one or more processors associated with a vehicle module installed in a vehicle, a state of the vehicle to (i) prevent vehicle operators from among the plurality of vehicle operators from operating the vehicle when the determined identity of a respective vehicle operator does not match any vehicle operators that are insured to operate the vehicle based upon known vehicle operator identity data, or (ii) enable vehicle operators from among the plurality of vehicle operators to operate the vehicle when the determined identity of a respective vehicle operator matches at least one vehicle operator that is insured to operate the vehicle based upon the known vehicle operator identity data;

receiving, by the one or more processors associated with the server, vehicle operation data representative of operation of a vehicle by each of the plurality of vehicle operators who are enabled to operate the vehicle and including one or more images of the inside of the vehicle that indicate, upon performing an image analysis, whether each of the plurality of vehicle operators who are enabled to operate the vehicle were driving with one or more passengers;

wherein each of the vehicle operator identity data and the vehicle operation data is based at least partially on vehicle sensor data;

correlating, by the one or more processors associated with the server, the identity of each of the plurality of vehicle operators who are enabled to operate the vehicle to the vehicle operation data and the vehicle operator identity data associated with each respective vehicle operator from among the plurality of vehicle operators who are enabled to operate the vehicle; and

calculating, by the one or more processors associated with the server, comprehensive vehicle insurance policy related data based upon the correlation of the identity of each of the plurality of vehicle operators who are enabled to operate the vehicle to (i) the vehicle operation data, and (ii) the vehicle operator identity data, such that the comprehensive vehicle insurance policy related data indicates;

(i) a proportion of driving time in which each of the plurality of vehicle operators who are enabled to operate the vehicle drove the vehicle,

(ii) for each of the plurality of vehicle operators who are enabled to operate the vehicle, a proportion of driving time in which each of the plurality of vehicle operators was accompanied by one or more passengers when driving the vehicle, and

(iii) driving habits of each of the plurality of vehicle operators who drove the vehicle.

2. The method of claim 1, further comprising:

receiving, by the one or more processors associated with the server, the known vehicle operator identity data,

wherein the known vehicle operator identity data is representative of one or more (i) identifiable physical aspects of each of the vehicle operators that are insured to operate the vehicle, and (ii) an image of each of the vehicle operators that are insured to operate the vehicle.

3. The method of claim 2, wherein the act of determining the identity of each of the vehicle operators that are insured to operate the vehicle comprises:

comparing the identifiable physical aspects and the image of each of the vehicle operators that are insured to operate the vehicle included in the vehicle operator identity data to the identifiable physical aspects and images included in the known vehicle operator identity data.

4. The method of claim 1, wherein the vehicle sensor data is received from at least one vehicle sensor selected from a group of sensors consisting of:

a light sensor;

a pressure sensor;

a seat belt sensor;

a seat occupancy sensor;

an image sensor;

a vehicle telematics system sensor;

a steering wheel angle sensor;

a vibration sensor;

a vehicle pitch sensor;

facial recognition sensor;

fingerprint sensor;

eye scan sensor;

a vehicle yaw sensor;

a vehicle speed sensor;

a vehicle brake sensor;

a steering wheel hand sensor;

an air bag sensor;

a microphone;

an ultrasonic sensor; and

an infrared sensor.

5. The method of claim 1, wherein the vehicle operator identity data is based, at least in part, on data received from a vehicle sensor selected from a group of sensors consisting of:

an image sensor;

a microphone;

facial recognition sensor;

fingerprint sensor;

eye scan sensor; and

a seat occupant weight sensor.

6. The method of claim 1, wherein the act of calculating the comprehensive vehicle insurance policy related data comprises:

calculating one or more insurance options including underwriting and pricing.

7. The method of claim 1, wherein the identifiable physical aspects of each of the plurality of vehicle operators who are enabled to operate the vehicle include a weight of each of the plurality of vehicle operators who are enabled to operate the vehicle.

8. The method of claim 1, wherein the vehicle operator identity data further includes a position and orientation of each vehicle operator'"'"'s head from among the plurality of vehicle operators who are enabled to operate the vehicle.

9. A system for automatically generating vehicle insurance policy related data, the system comprising:

a vehicle module configured to;

acquire vehicle operator identity data representative of a plurality of vehicle operators, the vehicle operator identity data including (i) data representative of one or more identifiable physical aspects of each of the plurality of vehicle operators, and (ii) an image of each of the plurality of vehicle operators; and

a server configured to determine an identity of each of the plurality of vehicle operators based on the vehicle operator identity data,

wherein the vehicle module is further configured to;

change a state of a vehicle to (i) prevent vehicle operators from among the plurality of vehicle operators from operating the vehicle when the determined identity of a respective vehicle operator does not match any vehicle operators that are insured to operate the vehicle based upon known vehicle operator identity data, or (ii) enable vehicle operators from among the plurality of vehicle operators to operate the vehicle when the determined identity of a respective vehicle operator matches at least one vehicle operator that is insured to operate the vehicle based upon the known vehicle operator identity data;

acquire vehicle operation data representative of operation of a vehicle by each of the plurality of vehicle operators who are enabled to operate the vehicle and including one or more images of the inside of the vehicle that indicate, upon performing an image analysis, whether each of the plurality of vehicle operators were driving with one or more passengers,

wherein each of the vehicle operator identity data and the vehicle operation data are based at least partially on vehicle sensor data, and

wherein the

server is further configured to;

correlate the identity of each of the plurality of vehicle operators who are enabled to operate the vehicle to the vehicle operation data and the vehicle operator identity data associated with each respective vehicle operator from among the plurality of vehicle operators who are enabled to operate the vehicle; and

calculate comprehensive vehicle insurance policy related data based upon the correlation of the identity of each of the plurality of vehicle operators who are enabled to operate the vehicle to (i) the vehicle operation data, and (ii) the vehicle operator identity data, such that the comprehensive vehicle insurance policy related data indicates;

(i) a proportion of driving time in which each of the plurality of vehicle operators who are enabled to operate the vehicle drove the vehicle,

(ii) for each of the plurality of vehicle operators who are enabled to operate the vehicle, a proportion of driving time in which each of the plurality of vehicle operators was accompanied by one or more passengers when driving the vehicle, and

(iii) driving habits for each of the plurality of vehicle operators who drove the vehicle.

10. The system of claim 9, wherein the vehicle operator identity data and the vehicle operation data are time stamped, and wherein the correlation between the identity of each of the plurality of vehicle operators who are enabled to operate the vehicle and at least a portion of the vehicle operation data and the vehicle operator identity data is based, at least in part, on the time stamp.

11. The system of claim 9, wherein the vehicle module is further configured to receive the known vehicle operator identity data that is representative of one or more of (i) identifiable physical aspects of each of the vehicle operators that are insured to operate the vehicle, and (ii) an image of each of the vehicle operators that are insured to operate the vehicle.

12. The system of claim 9, wherein the vehicle module is further configured to:

receive the vehicle sensor data, and

wherein the identifiable physical aspects of each of the plurality of vehicle operators who are enabled to operate the vehicle that is generated as part of the vehicle sensor data include a weight of each of the plurality of vehicle operators who are enabled to operate the vehicle.

13. The system of claim 9, wherein the server is further configured calculate the vehicle insurance policy related data to include a vehicle insurance rate.

14. The system of claim 9, wherein the vehicle operator identity data further includes a position and orientation of each vehicle operator'"'"'s head from among the plurality of vehicle operators who are enabled to operate the vehicle.

15. A non-transitory, tangible, computer-readable medium storing instructions that, when executed by a processor, cause the processor to automatically generate vehicle insurance policy related data, the instructions comprising:

acquiring vehicle operator identity data representative of each of a plurality of vehicle operators, the vehicle operator identity data including (i) data representative of one or more identifiable physical aspects of each of the plurality of vehicle operators, and (ii) an image of each of the plurality of vehicle operators;

determining an identity of each of the plurality of vehicle operators based on the vehicle operator identity data;

changing a state of a vehicle to (i) prevent vehicle operators from among the plurality of vehicle operators from operating the vehicle when the determined identity of a respective vehicle operator does not match any vehicle operators that are insured to operate the vehicle based upon known vehicle operator identity data, or (ii) enable vehicle operators from among the plurality of vehicle operators to operate the vehicle when the determined identity of a respective vehicle operator matches at least one vehicle operator that is insured to operate the vehicle based upon the known vehicle operator identity data;

acquiring vehicle operation data representative of operation of a vehicle by each of the plurality of vehicle operators who are enabled to operate the vehicle and including one or more images of the inside of the vehicle that indicate, upon performing an image analysis, whether each of the plurality of vehicle operators who are enabled to operate the vehicle were driving with one or more passengers;

wherein each of the vehicle operator identity data and the vehicle operation data is based at least partially on vehicle sensor data,

correlating the identity of each of the plurality of vehicle operators who are enabled to operate the vehicle to the vehicle operation data and the vehicle operator identity data associated with each respective vehicle operator from among the plurality of vehicle operators who are enabled to operate the vehicle; and

calculating comprehensive vehicle insurance policy related data based upon the correlation of the identity of each of the plurality of vehicle operators who are enabled to operate the vehicle to (i) the vehicle operation data, and (ii) the vehicle operator identity data, such that the comprehensive vehicle insurance policy related data indicates;

(i) a proportion of driving time in which each of the plurality of vehicle operators who are enabled to operate the vehicle drove the vehicle,

(ii) for each of the plurality of vehicle operators who are enabled to operate the vehicle, a proportion of driving time in which each of the plurality of vehicle operators was accompanied by one or more passengers when driving the vehicle, and

(iii) driving habits of each of the plurality of vehicle operators who drove the vehicle.

16. The non-transitory, tangible, computer-readable medium of claim 15, wherein the vehicle operator identity data and the vehicle operation data are time stamped, and

wherein the correlation between the identity of each of the plurality of vehicle operators who are enabled to operate the vehicle and at least a portion of the vehicle operation data and the vehicle operator identity data is based, at least in part, on the time stamp.

17. The non-transitory, tangible, computer-readable medium of claim 15, further including instructions that, when executed by the processor, cause the processor to:

receive the known vehicle operator identity data that is representative of one or more of (i) identifiable physical aspects of each of the vehicle operators that are insured to operate the vehicle, and (ii) an image of each of the vehicle operators that are insured to operate the vehicle.

18. The non-transitory, tangible, computer-readable medium of claim 15, wherein the instructions to calculate the comprehensive vehicle insurance policy related data further include instructions that, when executed by the processor, cause the processor to calculate a vehicle insurance rate.

19. The non-transitory, tangible, computer-readable medium of claim 15, wherein the instructions to calculate the comprehensive vehicle insurance policy related data further include instructions that, when executed by the processor, cause the processor to:

process one or more insurance options including underwriting and pricing.

20. The non-transitory, tangible, computer-readable medium of claim 15, wherein the identifiable physical aspects of each of the plurality of vehicle operators who are enabled to operate the vehicle that are generated as part of the vehicle sensor data include a weight of each of the plurality of vehicle operators who are enabled to operate the vehicle.

21. The non-transitory, tangible, computer-readable medium of claim 15, wherein the vehicle operator identity data further includes a position and orientation of each vehicle operator'"'"'s head from among the plurality of vehicle operators who are enabled to operate the vehicle.