Methods and Systems for Providing Risk Profile Analytics

• US 20140067434A1
• Filed: 08/29/2013
• Published: 03/06/2014
• Est. Priority Date: 08/30/2012
• Status: Abandoned Application

• Current Assignee: Agero Incorporated (The Cross Country Group LLC)
• Original Assignee: Agero Incorporated (The Cross Country Group LLC)
• Inventors: Bourne, Julian J., Annibale, Christopher
• Application Number:
  US14/013,436
• Publication Number:
  US 20140067434A1
• Time in Patent Office: Days
• US Class Current: 705/4
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A risk profile system determines a risk profile of a driver of a vehicle using improved driver metrics. Driver characteristics of a driver are determined as the driver encounters one or more locations that have an associated weighted accident history. The determined driver characteristics of the driver are compared to a normal distribution curve of driving characteristic data at one or more of the locations encountered by the driver.

A risk profile system determines improved driver metrics. A weighted accident history is determined for one or more locations. A normal distribution curve is determined for driving characteristic data of a plurality of drivers at each of the one or more locations.

Claims

1. A method for determining a risk profile of a driver of a vehicle using improved driver metrics, which comprises:

determining driver characteristics of a driver as the driver encounters one or more locations that have an associated weighted accident history; and

comparing the determined driver characteristics of the driver to a normal distribution curve of driving characteristic data at one or more of the locations encountered by the driver.

2. The method of claim 1, wherein the determined characteristics of the driver comprise at least one of speed, time of day, acceleration, braking, an amount of times that brakes are used, and an amount of times that the driver accelerates.

3. The method of claim 1, wherein the normal distribution curve accounts for current or historical weather conditions at the one or more locations.

4. The method of claim 1, wherein the normal distribution curve accounts for traffic conditions at the one or more locations.

5. The method of claim 1, which further comprises determining driver competence by providing a comparison of driver characteristics of the driver with driver characteristic data of different drivers in similar situations.

6. The method of claim 1, which further comprises determining driver competence by providing a comparison of driver characteristics of the driver in different weather conditions.

7. The method of claim 1, which further comprises giving the driver advance warning of bad driving conditions.

8. The method of claim 7, which further comprises examining the driver characteristic data of the driver to determine whether driving behavior of the driver changes based on the advance warning.

9. The method of claim 1, which further comprises obtaining positional information of the vehicle.

10. The method of claim 9, which further comprises associating weather data with the positional information of the vehicle.

11. The method of claim 9, which further comprises associating traffic data with the positional information of the vehicle.

12. The method of claim 1, which further comprises classifying accidents of the weighted accident history by frequency or type to determine severity ratings.

13. The method of claim 12, wherein the severity ratings are a function of variables including whether the accidents of the accident history are at least one of driver-caused, related to weather, and related to distracted driving.

14. The method of claim 1, which further comprises using the weighted accident history to determine metrics for a route.

15. The method of claim 1, which further comprises collecting data using a mobile device of the driver.

16. The method of claim 15, which further comprises using the collected data to determine whether the driver is distracted.

17. The method of claim 1, which further comprises:

determining a weighted accident history for the one or more locations; and

determining the normal distribution curve for driving characteristic data of a plurality of drivers at each of the one or more locations.

18. A method for providing improved driver metrics, which comprises:

determining a weighted accident history for one or more locations; and

determining a normal distribution curve for driving characteristic data of a plurality of drivers at each of the one or more locations.

19. The method of claim 18, wherein the driving characteristic data comprises at least one of speed, time of day, acceleration, braking, an amount of times that brakes are used, and an amount of times that that the drivers accelerate.

20. The method of claim 18, which further comprises carrying out the normal distribution curve determining step by having the normal distribution curve account for weather conditions at the one or more locations.

21. The method of claim 18, which further comprises carrying out the normal distribution curve determining step by having the normal distribution curve account for traffic conditions at the one or more locations.