Vehicle rating system

• US 10,529,046 B1
• Filed: 02/08/2016
• Issued: 01/07/2020
• Est. Priority Date: 02/08/2016
• Status: Active Grant

• Current Assignee: Allstate Insurance Company (Allstate Corporation)
• Original Assignee: Allstate Insurance Company (Allstate Corporation)
• Inventors: Irey, Grady
• Primary Examiner(s): Tran, Hai
• Application Number:
  US15/018,248
• Time in Patent Office: 1,429 Days
• Field of Search: 705 4
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0808 Diagnosing performance data testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005

Abstract

A system may include a plurality of telematics devices and a driving behaviors analysis server configured to identify a plurality of drivers of a vehicle type. The server may determine a number of accidents for each driver of the vehicle type over a predetermined period of time and calculate an accident frequency value accordingly for the plurality of drivers. The server may then determine an accident severity value for the plurality of drivers of the vehicle type based on analyzing each accident that has occurred for each driver. Further, the server may receive driving data for each driver from the plurality of telematics devices and identify driving behaviors for each driver based on the driving data. Finally, the server may assign a vehicle safety rating to the vehicle type based on the accident frequency value, the accident severity value, and the driving behaviors for each driver of the vehicle type.

Claims

1. A system comprising:

a plurality of telematics devices, each telematics device of the plurality of telematics devices being associated with a vehicle type having a plurality of sensors arranged thereon, the vehicle type identified by at least one of;

a make, a model, and a year of the vehicle; and

a driving behaviors analysis server, comprising hardware including a processor and memory, the server configured to;

identify a plurality of drivers of the vehicle type, wherein each driver is associated with a respective vehicle that is categorized by the vehicle type;

determine a number of accidents for each driver of the vehicle type over a predetermined period of time;

calculate an accident frequency value for the plurality of drivers of the vehicle type based on the number of accidents for each driver of the vehicle type;

determine an accident severity value for the plurality of drivers of the vehicle type based on analyzing each accident that has occurred for each driver of the vehicle type;

receive, from each of the plurality of telematics devices and in real-time, driving data for each driver of the vehicle type;

based on the driving data, identify driving behaviors for each driver of the vehicle type by identifying patterns in the driving data over the predetermined period of time; and

assign a vehicle safety rating to the vehicle type based on the accident frequency value, the accident severity value, and the driving behaviors for each driver of the vehicle type.

2. The system of claim 1, wherein the vehicle of each driver is insured by an insurance provider.

3. The system of claim 1, wherein the number of accidents for each driver comprises collisions, crashes, and automobile rollovers for the vehicle type over a year.

4. The system of claim 1, wherein the driving behaviors analysis server is further configured to:

determine the accident severity value by analyzing at least one of vehicle damages, vehicle repair times, injuries, non-injuries, and fatalities for each accident that has occurred for each driver of the vehicle type.

5. The system of claim 1, wherein the driving behaviors analysis server is further configured to:

calculate a likelihood of accidents value for the vehicle type based on a statistical analysis of the driving behaviors, driving history, and accident data for each driver of the vehicle type.

6. The system of claim 1, wherein the driver data for each driver comprises real-time data that is collected by one or more sensors coupled to each driver'"'"'s vehicle while the driver is driving, and wherein the driving behaviors for each driver are based on at least one of driving speeds, acceleration, braking, steering, miles driven, road conditions, and amount of time driven.

7. The system of claim 1, further comprising a database, wherein the driving behaviors analysis server is further configured to:

store data regarding the vehicle safety rating for the vehicle type in the database, wherein the database comprises data regarding a plurality of rated vehicles.

8. An apparatus comprising:

at least one processor;

a network interface configured to communicate, via a network, with a database and a plurality of telematics devices, each telematics device of the plurality of telematics devices being associated with a vehicle type having a plurality of sensors arranged thereon, the vehicle type identified by at least one of;

a make, a model, and a year of the vehicle; and

a memory storing computer-readable instructions that, when executed by the at least one processor, cause the apparatus to;

identify a plurality of drivers of the vehicle type, wherein each driver is associated with a respective vehicle that is categorized by the vehicle type;

determine a number of accidents for each driver of the vehicle type over a predetermined period of time;

calculate an accident frequency value for the plurality of drivers of the vehicle type based on the number of accidents for each driver of the vehicle type;

determine an accident severity value for the plurality of drivers of the vehicle type based on analyzing each accident that has occurred for each driver of the vehicle type;

receive, from each of the plurality of telematics devices and in real-time, driving data for each driver of the vehicle type;

based on the driving data, identify driving behaviors for each driver of the vehicle type by identifying patterns in the driving data over the predetermined period of time;

assign a vehicle safety rating to the vehicle type based on the accident frequency value, the accident severity value, and the driving behaviors for each driver of the vehicle type; and

store data regarding the vehicle safety rating for the vehicle type in the database, wherein the database comprises data regarding a plurality of rated vehicles.

9. The apparatus of claim 8, wherein the vehicle of each driver is insured by an insurance provider.

10. The apparatus of claim 8, wherein the number of accidents for each driver comprises collisions, crashes, automobile rollovers for the vehicle type over a year.

11. The apparatus of claim 8, wherein the instructions, when executed by the at least one processor, further cause the apparatus to:

determine the accident severity value by analyzing at least one of vehicle damages, vehicle repair times, injuries, non-injuries, and fatalities for each accident that has occurred for each driver of the vehicle type.

12. The apparatus of claim 8, wherein the instructions, when executed by the at least one processor, further cause the apparatus to:

calculate a likelihood of accidents value for the vehicle type based on a statistical analysis of the driving behaviors, driving history, and accident data for each driver of the vehicle type.

13. The apparatus of claim 8, wherein the driver data for each driver comprises real-time data that is collected by one or more sensors coupled to each driver'"'"'s vehicle while the driver is driving, and wherein the driving behaviors for each driver are based on at least one of driving speeds, acceleration, braking, steering, miles driven, road conditions, and amount of time driven.

14. A method comprising:

identifying, by one or more computing devices, a plurality of drivers of a vehicle type, wherein each driver is associated with a respective vehicle that is categorized by the vehicle type and wherein the vehicle type is identified by at least one of;

a make, a model, and a year of the vehicle;

determining, by the one or more computing devices, a number of accidents for each driver of the vehicle type over a predetermined period of time;

calculating, by the one or more computing devices, an accident frequency value for the plurality of drivers of the vehicle type based on the number of accidents for each driver of the vehicle type;

determining, by the one or more computing devices, an accident severity value for the plurality of drivers of the vehicle type based on analyzing each accident that has occurred for each driver of the vehicle type;

parsing, by the one or more computing devices, driving data for each driver of the vehicle type, wherein the driving data is received in real-time from each of a plurality of telematics devices, each telematics device being associated with the vehicle type having a plurality of sensors arranged thereon;

based on the driving data, identifying, by the one or more computing devices, driving behaviors for each driver of the vehicle type by identifying patterns in the driving data over the predetermined period of time; and

assigning, by the one or more computing devices, a vehicle safety rating to the vehicle type based on the accident frequency value, the accident severity value, and the driving behaviors for each driver of the vehicle type.

15. The method of claim 14, wherein the vehicle of each driver is insured by an insurance provider.

16. The method of claim 14, wherein the number of accidents for each driver comprises collisions, crashes, automobile rollovers for the vehicle type over a year.

17. The method of claim 14, wherein determining the accident severity value for the plurality of drivers further comprises:

analyzing at least one of vehicle damages, vehicle repair times, injuries, non-injuries, and fatalities for each accident that has occurred for each driver of the vehicle type.

18. The method of claim 14, further comprising:

calculating a likelihood of accidents value for the vehicle type based on a statistical analysis of the driving behaviors, driving history, and accident data for each driver of the vehicle type.

19. The method of claim 14, wherein the driver data for each driver comprises real-time data that is collected by one or more sensors coupled to each driver'"'"'s vehicle while the driver is driving, and wherein the driving behaviors for each driver are based on at least one of driving speeds, acceleration, braking, steering, miles driven, road conditions, and amount of time driven.

20. The method of claim 14, further comprising:

storing data regarding the vehicle safety rating for the vehicle type in a database accessible to the one or more computing devices, wherein the database comprises data regarding a plurality of rated vehicles.