System and method for identifying idling times of a vehicle using accelerometer data

• US 10,019,762 B2
• Filed: 05/15/2014
• Issued: 07/10/2018
• Est. Priority Date: 05/15/2014
• Status: Active Grant

• Current Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Original Assignee: State Farm Mutual Automobile Insurance Company (State Farm)
• Inventors: Menon, Sunish Shreenarayan, Dosher, David James, Christensen, Scott Thomas
• Primary Examiner(s): Donlon, Ryan D
• Assistant Examiner(s): BRINDLEY, BENJAMIN S
• Application Number:
  US14/277,867
• Publication Number:
  US 20150332409A1
• Time in Patent Office: 1,517 Days
• Field of Search: 705 4
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/22 Social work or social welfare, e.g. community support activities or counselling services
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/02 Registering or indicating driving, working, idle, or waiting time only apparatus forming part of taximeters G07B13/00

Abstract

A computer implemented method for determining one or more idling time windows from a vehicle trip is presented. A data server may receive, via a computer network, a plurality of telematics data originating from a client computing device and identify primary movement data from the plurality of telematics data. The data server may also measure a total variance from the plurality of telematics data at one or more time stamps and determine an average total variance for an entire trip from the plurality of telematics data. The data server may further normalize total variance at the one or more time stamps using the generated average and determine one or more idling time windows from the normalized total variance.

Claims

1. A computer implemented method for determining one or more idling time windows from a vehicle trip, the method comprising:

placing a client computing device in a vehicle;

receiving, via a computer network, a plurality of telematics data originating from the client computing device placed in the vehicle;

identifying, by one or more processors, a primary movement window from secondary movement data in the plurality of telematics data, wherein the primary movement window has a total spectral power that does not meet a threshold spectral value, the primary movement window being indicative of the client computing device being static with respect to the moving vehicle, and wherein the secondary movement data has a total spectral power that meets the threshold spectral value, the secondary movement data being indicative of the client computing device moving with respect to the moving vehicle;

measuring, by the one or more processors, a total variance from the plurality of telematics data at one or more time stamps in the primary movement window;

determining, by the one or more processors, an average signal total variance from the plurality of telematics data in the primary movement window;

normalizing, by the one or more processors, the total variance at the one or more time stamps using the generated average; and

determining, by the one or more processors, one or more idling time windows from the normalized total variance, wherein each of the idling time windows indicate a period of time when the vehicle is not moving.

2. The method of claim 1 further comprising:

determining, by the one or more processors, an auto insurance risk using at least the one or more idling time windows.

3. The method of claim 1 further comprising:

correlating, by the one more processors, the one or more idling time windows with an additional idling time data source.

4. The method of claim 1, further comprising:

comparing, by the one or more processors, the total variance data to a threshold value.

5. The method of claim 1, wherein measuring the total variance further comprises:

reducing, by the one or more processors, one or more primary moving windows from the plurality of telematics data.

6. The method of claim 1 further comprising:

determining, by the one or more processors, a driving pattern corresponding to a driving environment of the vehicle based on the frequency of the idling time windows.

7. A computer device for determining one or more idling time windows from a vehicle trip, the device comprising:

one or more processors; and

one or more memories coupled to the one or more processors;

the one or more memories including non-transitory computer executable instructions stored therein that, when executed by the one or more processors, cause the one or more processors to;

receive a plurality of telematics data originating from a client computing device placed in a vehicle and free to move with respect to movement of the vehicle;

identify a primary movement window from secondary movement data in the plurality of telematics data, wherein the primary movement window has a total spectral power that does not meet a threshold spectral value, the primary movement window being indicative of the client computing device being static with respect to the moving vehicle while in the vehicle, and wherein the secondary movement data has a total spectral power that meets the threshold spectral value, the second movement data being indicative of the client computing device moving with respect to the moving vehicle while in the vehicle;

measure a total variance from the plurality of telematics data at one or more time stamps in the primary movement window;

determine an average signal total variance from the plurality of telematics data in the primary movement window;

normalize the total variance at the one or more time stamps using the generated average; and

determine one or more idling time windows from the normalized total variance, wherein each of the idling time windows indicate a period of time when the vehicle is not moving.

8. The computer device of claim 7, wherein the non-transitory computer executable instructions further cause the one or more processors to:

determine an auto insurance risk using at least the one or more determined idling time windows.

9. The computer device of claim 7, wherein the non-transitory computer executable instructions further cause the one or more processors to:

correlate the one or more idling time windows with an additional idling time data source.

10. The computer device of claim 7, wherein the non-transitory computer executable instructions further cause the one or more processors to:

compare the total variance data to a threshold value.