Driver profiles based upon driving behavior with passengers

• US 10,832,261 B1
• Filed: 10/16/2017
• Issued: 11/10/2020
• Est. Priority Date: 10/28/2016
• Status: Active Grant

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Chan, Leo Nelson, Alt, Jacob J., Megyese, Matthew S., Cielocha, Steven C., Gaudin, Kristopher Keith, Fields, Brian Mark
• Primary Examiner(s): Kazimi, Hani M
• Assistant Examiner(s): Hilmantal, Adam
• Application Number:
  US15/784,822
• Time in Patent Office: 1,121 Days
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2520/105 Longitudinal acceleration
• CPC Class Codes: B60W 2554/802 Longitudinal distance
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/1053 Employment or hiring
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time

Abstract

In a computer-implemented method for detecting and acting upon driver behavior while driving with passengers, telematics data collected by electronic subsystems of a vehicle and/or a mobile electronic device is received. The telematics data is analyzed to identify time periods during which a driver drove with passengers, and identify driving behaviors of the driver during those times. Based upon the identified driving behaviors, a driver profile associated with the driver is set or updated. The profile is transmitted to an entity that adjusts a credit rating of the driver, adjusts an insurance rating of the driver, reviews at least the portion of the profile in connection with a job sought by the driver, or offers a permanent or temporary credit in connection with a good or service offered by the entity. As a result, risk-averse drivers may be offered benefits or cost savings.

Claims

1. A computer-implemented method for detecting and acting upon driver behavior while driving with passengers, the computer-implemented method comprising:

collecting telematics data by one or both of (i) one or more electronic subsystems located on or in a vehicle and (ii) a mobile electronic device of a driver or a passenger in the vehicle, wherein the telematics data includes (i) weight sensor data that was generated by one or more weight sensors installed within one or more seats of the vehicle, (ii) image data that was generated by a camera mounted within the vehicle, or (iii) seat belt data that was generated by the one or more electronic subsystems;

transmitting, by the one or more electronic subsystems or by the mobile electronic device, the telematics data to a computer system;

analyzing, by one or more processors of the computer system, the collected telematics data to (i) identify one or more time periods during which the driver of the vehicle drove with one or more passengers, (ii) identify one or more driving behaviors of the driver during the one or more time periods, and (iii) identify one or more driving behaviors of the driver during one or more other time periods in which the driver drove without passengers, wherein analyzing the collected telematics data includes analyzing the weight sensor data, the image data, or the seat belt data to determine when passengers were within the vehicle;

determining, by one or more processors and based upon (i) the one or more driving behaviors of the driver during the one or more time periods and (ii) the one or more driving behaviors of the driver during the one or more other time periods, how the driver modifies his or her driving when driving with passengers as compared to when driving alone;

based at least upon how the driver modifies his or her driving when driving with passengers, setting, by the one or more processors, at least a portion of a driver profile associated with the driver; and

causing, by the one or more processors, transmission of at least the portion of the driver profile to an entity that

adjusts a credit rating associated with the driver based upon at least the portion of the driver profile,

adjusts an insurance rating associated with the driver based upon at least the portion of the driver profile,

reviews at least the portion of the driver profile in connection with a job sought by the driver, or

offers a permanent or temporary credit, in connection with a good or service offered by the entity, based upon at least the portion of the driver profile.

2. The computer-implemented method of claim 1, wherein:

collecting the telematics data includes collecting sensor data indicative of an environment external to the vehicle during the one or more time periods; and

analyzing the collected telematics data to identify one or more driving behaviors of the driver includes analyzing the sensor data to identify at least one of the one or more driving behaviors.

3. The computer-implemented method of claim 1, wherein analyzing the collected telematics data to identify the at least one driving behavior includes analyzing the collected telematics data to identify one or both of:

a plurality of distances, during the one or more time periods, between the vehicle and other vehicles; and

lane usage of the vehicle during the one or more time periods.

4. The computer-implemented method of claim 1, wherein:

collecting telematics data includes collecting operational data indicative of how the driver operated the vehicle during the one or more time periods; and

analyzing the collected telematics data to identify one or more driving behaviors of the driver includes analyzing the operational data to identify at least one of the one or more driving behaviors.

5. The computer-implemented method of claim 1, wherein causing transmission of at least the portion of the driver profile to the entity includes causing transmission of at least the portion of the driver profile to a financial institution that adjusts the credit rating associated with the driver based upon at least the portion of the driver profile.

6. The computer-implemented method of claim 1, wherein causing transmission of at least the portion of the driver profile to the entity includes causing transmission of at least the portion of the driver profile to an employer that reviews at least the portion of the driver profile in connection with the job sought by the driver.

7. The computer-implemented method of claim 1, wherein causing transmission of at least the portion of the driver profile to the entity includes causing transmission of at least the portion of the driver profile to an insurer that adjusts the insurance rating of the driver based upon at least the portion of the driver profile.

8. The computer-implemented method of claim 1, wherein causing transmission of at least the portion of the driver profile to the entity includes causing transmission of at least the portion of the driver profile to a rental vehicle company that discounts a car rental offered to the driver based upon at least the portion of the driver profile.

9. A system for detecting and acting upon driver behavior while driving with passengers, the system comprising:

a device or subsystem that includes one or both of (i) one or more electronic subsystems located on or in a vehicle, and (ii) a mobile electronic device of a driver or a passenger of the vehicle, and is configured to

collect telematics data during one or more time periods, wherein the telematics data includes (i) weight sensor data that was generated by one or more weight sensors installed within one or more seats of the vehicle, (ii) image data that was generated by a camera mounted within the vehicle, or (iii) seat belt data that was generated by the one or more electronic subsystems, and

transmit the telematics data to a computer system; and

the computer system, wherein the computer system includes

one or more processors, and

a memory storing instructions that, when executed by the one or more processors, cause the computer system to

analyze the collected telematics data to (i) identify one or more time periods during which the driver of the vehicle drove with one or more passengers, (ii) identify one or more driving behaviors of the driver during the one or more time periods, and (iii) identify one or more driving behaviors of the driver during one or more other time periods in which the driver drove without passengers, wherein analyzing the collected telematics data includes analyzing the weight sensor data, the image data, or the seat belt data to determine when and how many passengers were within the vehicle,

determine, based upon (i) the one or more driving behaviors of the driver during the one or more time periods and (ii) the one or more driving behaviors of the driver during the one or more other time periods, how the driver modifies his or her driving when driving with passengers as compared to when driving alone,

based at least upon how the driver modifies his or her driving when driving with passengers, set at least a portion of a driver profile associated with the driver, and

transmit at least the portion of the driver profile to an entity that

adjusts a credit rating associated with the driver based upon at least the portion of the driver profile,

adjusts an insurance rating associated with the driver based upon at least the portion of the driver profile,

reviews at least the portion of the driver profile in connection with a job sought by the driver, or

offers a permanent or temporary credit, in connection with a good or service offered by the entity, based upon at least the portion of the driver profile.

10. The system of claim 9, wherein:

the collected telematics data includes image data that was collected by a camera mounted within the vehicle; and

the instructions cause the computer system to analyze the collected telematics data at least by applying an image recognition algorithm to the image data to determine when passengers were within the vehicle.

11. The system of claim 9, wherein:

the collected telematics data includes the weight sensor data that was collected by the one or more weight sensors installed within the one or more seats of the vehicle; and

the instructions cause the computer system to analyze the collected telematics data at least by analyzing the weight sensor data to determine when passengers were within the vehicle.

12. The system of claim 9, wherein:

the collected telematics data includes the seat belt data that was generated by the one or more electronic subsystems located on or in the vehicle; and

the instructions cause the computer system to analyze the collected telematics data at least by analyzing the seat belt data to determine when passengers were within the vehicle.

13. The system of claim 9, wherein the instructions cause the computer system to analyze the collected telematics data at least by analyzing the collected telematics data to identify one or both of:

a plurality of distances, during the one or more time periods, between the vehicle and other vehicles; and

lane usage of the vehicle during the one or more time periods.