IP Library Patent Application 16394997
Patent Application
App. No. 16/394,997

DETERMINING VEHICULAR INSURANCE PREMIUM ADJUSTMENTS

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Quick Facts
Patent No.
US None
App. No.
16/394,997
Abstract

Systems and methods of determining a vehicular insurance premium adjustment are disclosed. Visual data of a roadway or intersection of roads is received from cameras positioned at a traffic signal indicators. The visual data is used to determine risk associated with the roadway or intersection of roads, in form of a risk score. The risk score associated with the route of an autonomous vehicle is compared to risk scores associated with risk scores of alternative routes. Further, the risk scores for alternative routes are sent to an insurance network for determining vehicular insurance premium adjustments associated with the risk scores.

Claims (36)

1 . A method of determining a vehicular insurance premium adjustment, the method comprising:

receiving data from cameras positioned at traffic signal indictors installed at a plurality of roadways or intersections, wherein the received data corresponds to at least one instance of accident data and route data;

identifying a current route of a vehicle based on a current location of the vehicle and an identified destination;

identifying one or more alternative routes for the vehicle, wherein the alternative routes are determined to start from the current location of the vehicle and end at the identified destination;

calculating risk scores for each of the plurality of roadways or intersections associated with the current route and alternative routes of the vehicle, wherein the calculated risk score for each of the plurality of roadways or intersections is based at least on the accident data and the route data;

comparing the risk scores for each of the plurality of roadways or intersections associated with the current route of the vehicle with risk scores for the alternative routes; and

sending a report regarding the risk scores of the current route and the alternative routes to an insurance network, wherein the insurance network determines vehicular insurance premium adjustments associated with the comparison of the risk scores between the current route and the alternative routes.

2 . The method of claim 1 , further comprising identifying whether the vehicle is an autonomous vehicle.

3 . The method of claim 2 , wherein calculating the risk score for each of the plurality of roadways or intersections is further based on the vehicle being an autonomous vehicle.

4 . The method of claim 1 , further comprising identifying a severity of an accident from the received data of the cameras.

5 . The method of claim 4 , wherein identifying the severity of the accident is based on the received data of the camera via post-accident reports, post accident reports coming from public or third-party data sources, or machine vision algorithms.

6 . The method of claim 4 , wherein calculating the risk scores comprises applying one or more weights corresponding to the identified severity of the accident.

7 . The method of claim 1 , further comprising receiving a user selection to proceed on one of the alternative routes instead of the current route.

8 . The method of claim 1 , wherein calculating the risk scores is further based on one or more of vehicle positions, vehicle speeds, quantity of vehicles, and timing.

9 . A non-transitory computer-readable medium comprising instructions for performing a method of determining a vehicular insurance premium adjustment, the method comprising:

receiving data from cameras positioned at traffic signal indictors installed at a plurality of roadways or intersections, wherein the data corresponds to at least one instance of accident data and route data;

identifying a current route of a vehicle based on a current location of the vehicle and an identified destination;

identifying alternative routes for the vehicle, wherein the alternative routes are determined to start from the current location of the vehicle and end at the identify destination;

calculating risk scores for each of the plurality of roadways or intersections associated with the current route and the alternative routes of the vehicle, wherein the calculated risk score for each of the plurality of roadways or intersections is based at least on the accident data and the route data;

comparing the risk scores for each of the plurality of roadways or intersections associated with the current route of the vehicle with risk scores of alternative routes; and

sending a report regarding the risk scores for the current route and the alternative routes to an insurance network, wherein the insurance network determines vehicular insurance premium adjustments associated with the comparison of the risk scores between the current route and the alternative routes.

10 . The non-transitory computer-readable medium of claim of claim 9 , further comprising instructions executable to identify whether the vehicle is an autonomous vehicle.

11 . The non-transitory computer-readable medium of claim of claim 10 , wherein calculating the risk score for each of the plurality of roadways or intersections is further based on the vehicle being an autonomous vehicle.

12 . The non-transitory computer-readable medium of claim of claim 9 , further comprising instructions executable to identify a severity of an accident from the received data of the cameras

13 . The non-transitory computer-readable medium of claim of claim 12 , wherein identifying the severity of the accident is based on the received data of the camera via post-accident reports, post accident reports coming from public or third-party data sources, or machine vision algorithms.

14 . The non-transitory computer-readable medium of claim of claim 12 , wherein calculating the risk scores comprises applying one or more weights corresponding to the identified severity of the accident.

15 . The non-transitory computer-readable medium of claim of claim 9 , further comprising instructions executable to receive a user selection to proceed on one of the alternative routes instead of the current route.

16 . The non-transitory computer-readable medium of claim of claim 9 , wherein calculating the risk scores is further based on one or more of vehicle positions, vehicle speeds, quantity of vehicles, and timing.

17 . A system for performing a method of determining a vehicular insurance premium adjustment, the system comprising:

cameras positioned at traffic signal indictors installed at a plurality of roadways or intersections, wherein the cameras capture data corresponding to at least one instance of accident data and route data;

a processor that executes instructions stored in memory, wherein execution of the instructions by the processor:

identifies a current route of a vehicle based on a current location of the vehicle and a pre-determined destination,

identifies alternative routes for the vehicle, wherein the alternative routes are determined to start from the current location of the vehicle and end at the pre-determined destination,

calculates risk scores for each of the plurality of roadways or intersections associated with the current and alternative routes of the vehicle, wherein the calculated risk score for each of the plurality of roadways or intersections is based at least on the accident data and the route data, and

compares the risk scores for each of the plurality of roadways or intersections associated with the current route of the vehicle with risk scores of alternative routes, and

a communication interface that send the risk scores of the current route and the alternative routes to an insurance network, wherein the insurance network determines vehicular insurance premium adjustments associated with the comparison of the risk scores between the current route and the alternative routes.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 14, 2019
From: GRIDSMART TECHNOLOGIES, INC.
To: CUBIC CORPORATION
Reel/Frame 049476/0829 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 30, 2019
From: MALKES, WILLIAM A.; OVERSTREET, WILLIAM S.; PRICE, JEFFERY R.; TOURVILLE, MICHAEL J.
To: GRIDSMART TECHNOLOGIES, INC.
Reel/Frame 049319/0216 →