IP Library Granted Patent US 11,030,696
Granted Patent B1
US 11,030,696 · App. 14/798,609 · Granted Jun 8, 2021

Methods of providing insurance savings based upon telematics and anonymous driver data

Inventors: Thomas Michael Potter (Normal, IL); Mark E. Clauss (Bloomington, IL); Dustin Ryan Carter (Normal, IL); Douglas Albert Graff (Mountain View, MO); Megan Michal Baumann (Bloomington, IL); Atlanta Bonnom (Bloomington, IL); Craig Cope (Bloomington, IL); Jennifer Luella Lawyer (Bloomington, IL); Curtis Simpson (Bloomington, IL); Nathan W. Baumann (Bloomington, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G06Q40/08B60W40/09
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Quick Facts
Patent No.
US 11,030,696
App. No.
14/798,609
Filed
Jul 14, 2015
Granted
Jun 8, 2021
Kind
B1
Art Unit
3692
USPC
705/4
Abstract

A system and method may collect telematics and/or other data, and apply the data to insurance-based applications. From the data, an insurance provider may determine accurate vehicle usage information, including information regarding who is using a vehicle and under what conditions. An insurance provider may likewise determine risk levels or a risk profile for an insured driver (or other drivers), which may be used to adjust automobile or other insurance policies. The insurance provider may also use the data collected to adjust behavior based insurance using incentives, recommendations, or other means. For customers that opt-in to the data collection program offered, the present embodiments present the opportunity to demonstrate a low or moderate risk lifestyle and the chance for insurance-related savings based upon that low or moderate risk.

Claims (53)

1. A computer-implemented method for using anonymous driver data to adjust driving risk, comprising:

determining, by one or more processors, a plurality of anonymous drivers of a plurality of drivers based at least in part upon driver experience data;

collecting, at the one or more processors via a communication network from a plurality of mobile computing devices associated with the plurality of anonymous drivers, anonymous driver data associated with driving behavior of the plurality of anonymous drivers, the anonymous driver data including a plurality of data combinations of (i) geolocation data and (ii) anonymous driver telematics data associated with anonymous driver behavior;

identifying, by the one or more processors, a plurality of road segments based upon the geolocation data for each of the plurality of data combinations;

determining, by the one or more processors, one or more anonymous driver behaviors based upon the anonymous driver telematics data for each of the plurality of data combinations, wherein the one or more anonymous driver behaviors indicate one or more of the following: speed, braking, or acceleration;

connecting, at the one or more processors via the communication network from a mobile computing device associated with an insured driver, to the mobile computing device associated with the insured driver through an application executed on the mobile computing device associated with the insured driver;

collecting, by the one or more processors via the communication network from the mobile computing device associated with the insured driver, insured driving behavior data associated with the driving behavior of the insured driver, wherein the insured driving behavior data is associated with one or more of the plurality of road segments and includes telematics data generated by one or more sensors of the mobile computing device associated with the insured driver;

determining, by the one or more processors, one or more insured driver behaviors based upon the telematics data associated with each of the one or more of the plurality of road segments and indicating one or more of the following: speed, braking, or acceleration;

determining, by the one or more processors, a driving risk score associated with the insured driver by comparing the one or more anonymous driver behaviors with the one or more insured driver behaviors for each of the one or more of the plurality of road segments, wherein comparing the one or more anonymous driver behaviors with the one or more insured driver behaviors comprises comparing one or more of the following: speed, braking, or acceleration;

determining, by the one or more processors, an adjustment to an insurance policy associated with the insured driver based upon the determined driving risk score;

adjusting, by the one or more processors, the insurance policy according to the adjustment to the insurance policy; and

sending, via the communication network, an indication of the adjustment to the insurance policy to the mobile computing device associated with the insured driver for presentation to the insured driver.

2. The computer-implemented method of claim 1 , wherein the adjustment to the insurance policy includes one or more of the following: a premium, a rate, a discount, a reward, a deductible, or a limit.

3. The computer-implemented method of claim 1 , wherein the plurality of road segments include one or more of the following: a specific road, a specific section of a road, or an intersection.

4. The computer-implemented method of claim 1 , wherein comparing the anonymous driver data with the insured driving behavior data includes comparing anonymous driver speed with insured driver speed associated with the one or more road segments.

5. The computer-implemented method of claim 1 , wherein comparing the anonymous driver data with the insured driving behavior data includes comparing anonymous driver braking with insured driver braking associated with the one or more road segments.

6. The computer-implemented method of claim 1 , wherein comparing the anonymous driver data with the insured driving behavior data includes comparing anonymous driver acceleration with insured driver acceleration associated with the one or more road segments.

7. The computer-implemented method of claim 1 , wherein comparing the anonymous driver data with the insured driving behavior data includes comparing anonymous driver following distance with an insured driver following distance associated with the one or more road segments.

8. The computer-implemented method of claim 1 , wherein the telematics data further includes data generated by one or more of the following: (i) a vehicle other than an insured vehicle associated with the insured driver; (ii) the insured vehicle, based upon vehicle-to-vehicle communication with one or more other vehicles; (iii) an infrastructure component; or (iv) road side equipment.

9. The computer-implemented method of claim 1 , wherein the one or more processors are disposed within one or more servers remote from the one or more sensors.

10. A computer system for using anonymous driver data to adjust driving risk, comprising:

one or more processors; and

a program memory coupled to the one or more processors and storing executable instructions that when executed by the one or more processors cause the computer system to:

determine a plurality of anonymous drivers of a plurality of drivers based at least in part upon driver experience data;

collect, via a communication network from a plurality of mobile computing devices associated with the plurality of anonymous drivers, anonymous driver data associated with driving behavior of the plurality of anonymous drivers, the anonymous driver data including a plurality of data combinations of (i) geolocation data and (ii) anonymous driver telematics data associated with anonymous driver behavior;

identify a plurality of road segments based upon the geolocation data for each of the plurality of data combinations;

determine one or more anonymous driver behaviors based upon the anonymous driver telematics data for each of the plurality of data combinations, wherein the one or more anonymous driver behaviors indicate one or more of the following: speed, braking, or acceleration;

connect, via the communication network from a mobile computing device associated with an insured driver, to the mobile computing device associated with the insured driver through an application executed on the mobile computing device associated with the insured driver;

collect, via the communication network from the mobile computing device associated with the insured driver, insured driving behavior data associated with the driving behavior of the insured driver, wherein the insured driving behavior data is associated with one or more of the plurality of road segments and includes telematics data generated by one or more sensors of the mobile computing device associated with the insured driver;

determine one or more insured driver behaviors based upon the telematics data associated with each of the one or more of the plurality of road segments and indicating one or more of the following: speed, braking, or acceleration;

determine a driving risk score associated with the insured driver by comparing the one or more anonymous driver behaviors with the one or more insured driver behaviors for each of the one or more of the plurality of road segments, wherein comparing the one or more anonymous driver behaviors with the one or more insured driver behaviors comprises comparing one or more of the following: speed, braking, or acceleration;

determine an adjustment to an insurance policy associated with the insured driver based upon the determined driving risk score;

adjust the insurance policy according to the adjustment to the insurance policy; and

send, via the communication network, an indication of the adjustment to the insurance policy to the mobile computing device associated with the insured driver for presentation to the insured driver.

11. The computer system of claim 10 , wherein the adjustment to the insurance policy includes one or more of the following: a premium, a rate, a discount, a reward, a deductible, or a limit.

12. The computer system of claim 10 , wherein the plurality of road segments include one or more of the following: a specific road, a specific section of a road, or an intersection.

13. The computer system of claim 10 , wherein the telematics data further includes data generated by one or more of the following: (i) a vehicle other than an insured vehicle associated with the insured driver; (ii) the insured vehicle, based upon vehicle-to-vehicle communication with one or more other vehicles; (iii) an infrastructure component; or (iv) road side equipment.

14. A tangible, non-transitory computer-readable medium storing instructions for using anonymous driver data to adjust driving risk that, when executed by one or more processors of a computer system, cause the computer system to:

determine a plurality of anonymous drivers of a plurality of drivers based at least in part upon driver experience data;

collect, via a communication network from a plurality of mobile computing devices associated with the plurality of anonymous drivers, anonymous driver data associated with driving behavior of the plurality of anonymous drivers, the anonymous driver data including a plurality of data combinations of (i) geolocation data and (ii) anonymous driver telematics data associated with anonymous driver behavior;

identify a plurality of road segments based upon the geolocation data for each of the plurality of data combinations;

determine one or more anonymous driver behaviors based upon the anonymous driver telematics data for each of the plurality of data combinations, wherein the one or more anonymous driver behaviors indicate one or more of the following: speed, braking, or acceleration;

connect, via the communication network from a mobile computing device associated with an insured driver, to the mobile computing device associated with the insured driver through an application executed on the mobile computing device associated with the insured driver;

collect, via the communication network from the mobile computing device associated with the insured driver, insured driving behavior data associated with the driving behavior of the insured driver, wherein the insured driving behavior data is associated with one or more of the plurality of road segments and includes telematics data generated by one or more sensors of the mobile computing device associated with the insured driver;

determine one or more insured driver behaviors based upon the telematics data associated with each of the one or more of the plurality of road segments and indicating one or more of the following: speed, braking, or acceleration;

determine a driving risk score associated with the insured driver by comparing the one or more anonymous driver behaviors with the one or more insured driver behaviors for each of the one or more of the plurality of road segments, wherein comparing the one or more anonymous driver behaviors with the one or more insured driver behaviors comprises comparing one or more of the following: speed, braking, or acceleration;

determine an adjustment to an insurance policy associated with the insured driver based upon the determined driving risk score;

adjust the insurance policy according to the adjustment to the insurance policy; and

send, via the communication network, an indication of the adjustment to the insurance policy to the mobile computing device associated with the insured driver for presentation to the insured driver.

15. The tangible, non-transitory computer-readable medium of claim 14 , wherein the adjustment to the insurance policy includes one or more of the following: a premium, a rate, a discount, a reward, a deductible, or a limit.

16. The tangible, non-transitory computer-readable medium of claim 14 , wherein the plurality of road segments include one or more of the following: a specific road, a specific section of a road, or an intersection.

17. The tangible, non-transitory computer-readable medium of claim 14 , wherein comparing the one or more anonymous driver behaviors with the one or more insured driver behaviors includes comparing one or more of the following for an anonymous driver profile associated with the anonymous driver behaviors and the one or more insured driver behaviors of the insured driver, with respect to the one or more of the plurality of road segments: vehicle speed, braking, or acceleration.

18. The tangible, non-transitory computer-readable medium of claim 14 , wherein the telematics data further includes data generated by one or more of the following: (i) a vehicle other than an insured vehicle associated with the insured driver; (ii) the insured vehicle, based upon vehicle-to-vehicle communication with one or more other vehicles; (iii) an infrastructure component; or (iv) road side equipment.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 12, 2017
From: POTTER, THOMAS MICHAEL; CLAUSS, MARK E.; CARTER, DUSTIN RYAN; GRAFF, DOUGLAS ALBERT; BAUMANN, MEGAN MICHAL; COPE, CRAIG; LAWYER, JENNIFER LUELLA; SIMPSON, CURTIS; BAUMANN, NATHAN W.; BONNOM, ATLANTA
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 042352/0446 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 15, 2015
From: POTTER, THOMAS MICHAEL; CLAUSS, MARK E.; CARTER, DUSTIN RYAN; GRAFF, DOUGLAS ALBERT; BAUMANN, MEGAN MICHAL; BONNOM, ATLANTA; COPE, CRAIG; LAWYER, JENNIFER LUELLA; SIMPSON, CURTIS; BAUMANN, NATHAN W.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 036099/0629 →
Continuity (13)
Provisional Application 62145022 · Apr 9, 2015
Provisional Application 62145234 · Apr 9, 2015
Provisional Application 62145027 · Apr 9, 2015
Provisional Application 62145228 · Apr 9, 2015
Provisional Application 62145029 · Apr 9, 2015
Provisional Application 62145232 · Apr 9, 2015
Provisional Application 62145032 · Apr 9, 2015
Provisional Application 62145024 · Apr 9, 2015
Provisional Application 62145028 · Apr 9, 2015
Provisional Application 62145145 · Apr 9, 2015
Provisional Application 62145033 · Apr 9, 2015
Provisional Application 62040735 · Aug 22, 2014
Provisional Application 62027021 · Jul 21, 2014
Cited By (4)
US 12,315,019 US 12,346,973 US 12,365,308 US 12,632,904