IP Library Granted Patent US 11,257,377
Granted Patent B1
US 11,257,377 · App. 16/944,893 · Granted Feb 22, 2022

System for identifying high risk parking lots

Inventors: John A. Nepomuceno (Bloomington, IL); Leo Chan (Normal, IL); Steven C. Cielocha (Bloomington, IL); Roxane Lyons (Chenoa, IL); Matthew S. Megyese (Bloomington, IL); William J. Leise (Normal, IL); Jennifer L. Crawford (Normal, IL); Jennifer Criswell Kellett (Lincoln, IL); Kristopher Keith Gaudin (Bloomington, IL); Jeremy Myers (Normal, IL); Edward P. Matesevac, III (Normal, IL); Rajiv C. Shah (Bloomington, IL)
Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
G08G1/205G01C21/3461G01C21/3685G06Q10/0635G06Q40/08G08G1/096708G08G1/148
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Quick Facts
Patent No.
US 11,257,377
App. No.
16/944,893
Granted
Feb 22, 2022
Kind
B1
Abstract

Systems and methods are disclosed for identifying high risk parking lots. High risk parking lots may be, for example, parking lots that pose a higher than average risk of collisions and/or theft. Auto insurance claim data may be analyzed to identify hazardous areas. A virtual navigation of roads within the hazardous area may be identified. Public parking lots within the virtual navigation map may be defined, with each public parking lot determined as either in a hazardous area or not. A vehicle may be determined to be approaching or parking in a parking lot in a hazardous area, and a nearby public parking lot not associated with the hazardous area may be selected instead. A route from a current position to the nearby public parking lot may be generated, and the vehicle may be routed to the nearby public parking lot. As a result, collisions and thefts may be reduced.

Claims (34)

1. A computer-implemented method, the method comprising:

in response to determining that a vehicle is approaching or parking in a public parking lot associated with a hazardous area, automatically selecting, via the one or more processors, a nearby public parking lot that is along, or within a predetermined vicinity of, a preexisting navigation route, wherein the nearby public parking lot is not associated with a hazardous area;

generating, via the one or more processors, a route from a current position of the vehicle to the nearby public parking lot that is not associated with a hazardous area; and

routing, via one or more transceivers and/or the one or more processors, the vehicle to the nearby public parking lot using the generated route.

2. The computer-implemented method of claim 1 , further comprising generating, via the one or more processors, an audio alert and/or an haptic alert when the vehicle is approaching or parking in the public parking lot associated with a hazardous area.

3. The computer-implemented method of claim 1 , further comprising generating, via the one or more processors, a visual alert when the vehicle is approaching or parking in the public parking lot associated with a hazardous area.

4. The computer-implemented method of claim 1 , wherein the hazardous area is an area associated with a higher risk of vehicle collision and/or theft compared to a normal level of risk.

5. The computer-implemented method of claim 4 , wherein the nearby public parking lot that is not associated with a hazardous area is a public parking lot associated with a lower risk of vehicle collision.

6. The computer-implemented method of claim 4 , wherein the nearby public parking lot that is not associated with a hazardous area is a public parking lot associated with a lower risk of theft.

7. The computer-implemented method of claim 1 , wherein the nearby public parking lot is within a predetermined distance of the public parking lot associated with a hazardous area.

8. The computer-implemented method of claim 1 , further comprising

determining, via the one or more processors, one or more risk averse behaviors performed by an operator of the vehicle during operation of the vehicle, and

updating, via the one or more processors, an insurance premium or discount based upon the one or more risk averse behaviors.

9. The computer-implemented method of claim 8 , wherein the one or more risk averse behaviors include a following of the generated route to the nearby public parking lot that is not associated with a hazardous area.

10. The computer-implemented method of claim 1 , further comprising:

analyzing, via one or more processors, auto insurance claim data to identify hazardous areas, the hazardous areas being defined, at least in part, by GPS location or GPS coordinates; and

building or generating, via the one or more processors, a virtual navigation map of roads within the hazardous areas.

11. A computer system comprising:

one or more processors; and

one or more memories storing computer-executable instructions that, when executed, cause the processor to:

in response to determining that the vehicle is approaching or parking in the public parking lot associated with a hazardous area, select a nearby public parking lot that is along, or within a predetermined vicinity of, a preexisting navigation route, wherein the nearby public parking lot is not associated with a hazardous area;

generate a route from a current position of the vehicle to the nearby public parking lot that is not associated with a hazardous area; and

route or reroute the vehicle to the nearby public parking lot using the generated route.

12. The computer system of claim 11 , wherein the processor routes or reroutes the vehicle further using one or more transceivers.

13. The computer system of claim 11 , wherein the computer-executable instructions, when executed on the processor, further cause the processor to generate an audio alert and/or a haptic alert when the vehicle is approaching or parking in the public parking lot associated with a hazardous area.

14. The computer system of claim 11 , wherein the computer-executable instructions, when executed on the processor, further cause the processor to generate visual alert when the vehicle is approaching or parking in the public parking lot associated with a hazardous area.

15. The computer system of claim 11 , wherein the hazardous area is an area associated with a higher risk of vehicle collision and/or theft compared to a normal level of risk.

16. The computer system of claim 15 , wherein the nearby public parking lot that is not associated with a hazardous area is a public parking lot associated with a lower risk of vehicle collision.

17. The computer system of claim 15 , wherein the nearby public parking lot that is not associated with a hazardous area is a public parking lot associated with a lower risk of theft.

18. The computer system of claim 11 , wherein the nearby public parking lot is within a predetermined distance of the public parking lot associated with a hazardous area.

19. The computer system of claim 11 , wherein the computer-executable instructions, when executed on the processor, further cause the processor to:

determine one or more risk averse behaviors performed by an operator of the vehicle during operation of the vehicle, and

update an insurance premium or discount based upon the one or more risk averse behaviors.

20. The computer system of claim 19 , wherein the one or more risk averse behaviors include a following of the generated route to the nearby public parking lot that is not associated with a hazardous area.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 4, 2020
From: SHAH, RAJIV C.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 053393/0156 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 4, 2020
From: CHAN, LEO; CIELOCHA, STEVE C.; LYONS, ROXANE; MEGYESE, MATTHEW S.; LEISE, WILLIAM J.; CRISWELL KELLETT, JENNIFER; GAUDIN, KRISTOPHER KEITH; CRAWFORD, JENNIFER L.; MYERS, JEREMY; MATESEVAC, EDWARD P., III
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 053393/0444 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 4, 2020
From: NEPOMUCENO, JOHN A.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 053393/0609 →
Continuity (7)
Continuation 16513874 · Jul 17, 2019
Continuation 16223578 · Dec 18, 2018
Continuation 15482506 · Apr 7, 2017
Provisional Application 62401599 · Sep 29, 2016
Provisional Application 62340302 · May 23, 2016
Provisional Application 62321005 · Apr 11, 2016
Provisional Application 62321010 · Apr 11, 2016
Cited By (1)
US 12,680,819