Automatically tracking driving activity

Patent metadata

Field	Value
Publication number	US-12450667-B2
Application number	US-202418774510-A
Country	US
Kind code	B2
Filing date	Jul 16, 2024
Priority date	Sep 27, 2017
Publication date	Oct 21, 2025
Grant date	Oct 21, 2025

Abstract

A system and computer-implemented method detect and act upon deactivated vehicle components. The system and method include receiving measurements data associated with driving activity. The measurements data includes an indication that at least one feature of an Advanced Driver Assistance System (ADAS) of a vehicle has been deactivated for a driving activity. The system and method may include receiving historical driving data including a history of at least one driving activity aided by activation of the alert from the ADAS feature. The system and method may compare the measurements data to the historical driving data, determine a likelihood level that the feature of the ADAS would have provided the alert had the feature been activated based upon the comparing, and set, based at least upon the determining, at least a portion of an operator profile associated with an operator of the vehicle with the likelihood level.

First claim

What is claimed:

1. A computer-implemented method for configuring a vehicle component to assist with driving, the method comprising:
obtaining, by a processor and during a current trip of a vehicle, operating data indicating the vehicle component is deactivated;
obtaining, by the processor, historical driving data including historical driving activities performed while the vehicle component was activated;
determining, by the processor, and based on the operating data and the historical driving data, a likelihood value indicative of whether the vehicle component will be activated during the current trip;
generating, by the processor and based on the likelihood value, an alert to activate the vehicle component; and
transmitting, by the processor, the alert to a computing device associated with the vehicle, the alert causing the computing device to activate the vehicle component.

2. The computer-implemented method of claim 1 , wherein the historical driving data comprises:
historical driving behaviors of a plurality of operators that caused activation of the vehicle component, and
historical reaction data of the plurality of operators in response to the activation of the vehicle component.

3. The computer-implemented method of claim 2 , further comprising:
determining, by the processor, that the activation of the vehicle component caused at least one valid alert;
determining, by the processor and based on the historical reaction data, that the plurality of operators did not respond to the at least one valid alert; and
based on determining that the plurality of operators did not respond to the at least one valid alert, increasing, by the processor, the likelihood value.

4. The computer-implemented method of claim 2 , further comprising:
determining, by the processor, that the activation of the vehicle component caused at least one false alert;
determining, by the processor and based on the historical reaction data, that the plurality of operators did not respond to the at least one false alert; and
based on determining that the plurality of operators did not respond to the at least one false alert, decreasing, by the processor, the likelihood value.

5. The computer-implemented method of claim 1 , wherein the operating data indicates a steering pattern of the vehicle during the current trip, and the method further comprises:
determining, by the processor and based on the historical driving data, a historical steering pattern that has caused activation of the vehicle component;
determining, by the processor, that the steering pattern of the vehicle during the current trip matches the historical steering pattern; and
determining, by the processor, the likelihood value based on the steering pattern of the vehicle during the current trip matching the historical steering pattern.

6. The computer-implemented method of claim 1 , wherein the operating data indicates an acceleration pattern of the vehicle during the current trip, and the method further comprises:
determining, by the processor and based on the historical driving data, a historical acceleration pattern that has caused activation of the vehicle component;
determining, by the processor, that the acceleration pattern of the vehicle during the current trip matches the historical acceleration pattern; and
based on the acceleration pattern of the vehicle during the current trip matching the historical acceleration pattern, determining, by the processor, the likelihood value.

7. The computer-implemented method of claim 1 , further comprising:
associating, by the processor, the likelihood value with a profile associated with an operator operating the vehicle during the current trip; and
adjusting, by the processor and based on the profile, at least one of a price to risk model, a credit rating, an insurance rating, a permanent credit, or a temporary credit associated with the operator.

8. The computer-implemented method of claim 1 , further comprising:
determining, by the processor, that the likelihood value is equal to or greater than a threshold; and
based on the likelihood value being equal to or greater than the threshold, generating, by the processor, the alert to activate the vehicle component.

9. The computer-implemented method of claim 1 , further comprising:
switching, by the processor, an operation of the vehicle to be subject to an automated control by the vehicle component.

10. The computer-implemented method of claim 7 , further comprising:
transmitting, by the processor, the profile to an entity, wherein receiving the profile causes the entity to:
adjust a review associated with the operator, and
based at least in part on adjusting the review, automatically apply a rental discount to the operator.

11. A computer system for configuring a vehicle component to assist with driving, comprising:
a processor, and
a non-transitory computer-readable memory storing computer-executable instructions that, when executed by the processor, cause the processor to perform operations including:
obtaining, via a sensor and during a current trip of a vehicle, operating data indicating the vehicle component is deactivated;
obtaining historical driving data including historical driving activities performed while the vehicle component was activated;
determining, based on the operating data and the historical driving data, a likelihood value indicative of whether the vehicle component will be activated during the current trip;
generating, based on the likelihood value, an alert to activate the vehicle component; and
transmitting the alert to a computing device associated with the vehicle, the alert causing the computing device to activate the vehicle component.

12. The computer system of claim 11 , wherein the historical driving data comprises:
historical driving behaviors of a plurality of operators that caused activation of the vehicle component, and
historical reaction data of the plurality of operators in response to the activation of the vehicle component.

13. The computer system of claim 12 , wherein the operations further comprise:
determining that the activation of the vehicle component caused at least one valid alert;
determining, based on the historical reaction data, that the plurality of operators did not respond to the at least one valid alert; and
based on determining that the plurality of operators did not respond to the at least one valid alert, increasing the likelihood value.

14. The computer system of claim 12 , wherein the operations further comprise:
determining that the activation of the vehicle component caused at least one false alert;
determining, based on the historical reaction data, that the plurality of operators did not respond to the at least one false alert; and
based on determining that the plurality of operators did not respond to the at least one false alert, decreasing the likelihood value.

15. The computer system of claim 11 , wherein the operating data indicates a steering pattern of the vehicle during the current trip, and the operations further comprise:
determining, based on the historical driving data, a historical steering pattern that has caused activation of the vehicle component;
determining that the steering pattern of the vehicle during the current trip matches the historical steering pattern; and
based on the steering pattern of the vehicle during the current trip, matching the historical steering pattern, determining the likelihood value.

16. The computer system of claim 11 , wherein the operating data indicates an acceleration pattern of

Assignees

• State Farm Mutual Automobile Insurance Co

Inventors

• Gaudin Kristopher Keith
• Zeglin Andrew J
• Cope Craig Benjamin
• Harr Joseph
• Williams Aaron

Classifications

• G06Q30/0266

  based on the position of the vehicle · CPC title

• G06Q30/0207

  Discounts or incentives, e.g. coupons or rebates · CPC title

• B60W2556/45

  External transmission of data to or from the vehicle · CPC title

• B60W2756/10

  Involving external transmission of data to or from the vehicle · CPC title

• B60W2556/10

  Historical data · CPC title