Using data collected by a personal electronic device to identify a vehicle

1. A method, comprising acts of:

(A) receiving data captured by a personal electronic device residing within a vehicle having a motor, the data captured by the personal electronic device relating to a physical phenomenon occurring as a result of operation of the vehicle motor, the personal electronic device being associated with a user;

(B) determining whether the vehicle was idling when the data was captured; and

(C) if it is determined in the act (B) that the vehicle was idling when the data was captured, determining, using the data received in the act (A), whether the vehicle is insured by at least one of the user, a person with whom the user is associated, and an organization with which the user is associated.

2. The method of claim 1 , wherein the vehicle is an automobile.

3. The method of claim 2 , wherein the act (C) comprises identifying a make and model of the automobile.

4. The method of claim 1 , wherein the data received in the act (A) indicates acceleration of the personal electronic device over time.

5. The method of claim 4 , wherein the data received in the act (A) indicates acceleration of the personal electronic device in x-, y- and z-directions over time.

6. The method of claim 1 , wherein the data received in the act (A) indicates a location of the personal electronic device over time.

7. The method of claim 1 , wherein the data received in the act (A) indicates an orientation of the personal electronic device at one or more points in time.

8. The method of claim 1 , wherein the method comprises, prior to the act (A), an act of training at least one model to identify the vehicle using other data captured by at least one personal electronic device residing within at least one vehicle during operation of the at least one vehicle, and the act (C) comprises applying the at least one model to the data received in the act (A) in making the determination in the act (C).

9. The method of claim 8 , wherein:

the other data indicates acceleration of the personal electronic device in the time domain; and

the act performed prior to the act (A) comprises computing, from the data indicating acceleration of the personal electronic device in the time domain, one or more power spectra in the frequency domain, and training the at least one model using the one or more power spectra in the frequency domain.

10. The method of claim 1 , wherein the method comprises employing a result of the determination in the act (C) to provide vehicle-specific information to the user or an individual other than the user.

11. The method of claim 1 , wherein the method comprises receiving other information captured by the personal electronic device relating to the operation of the vehicle.

12. The method of claim 11 , wherein the other information relates to behavior of the user associated with the personal electronic device during operation of the vehicle.

13. The method of claim 1 , wherein the acts (A), (B) and (C) are performed by the personal electronic device.

14. The method of claim 1 , wherein the acts (A), (B) and (C) are performed by a server in networked communication with the personal electronic device.

15. The method of claim 1 , wherein the personal electronic device is a smartphone.

16. At least one computer-readable storage medium having instructions recorded thereon which, when executed by a computer, cause the computer to perform a method comprising acts of:

(A) receiving data captured by a personal electronic device residing within a vehicle having a motor, the data captured by the personal electronic device relating to a physical phenomenon occurring as a result of operation of the vehicle motor, the personal electronic device being associated with a user;

(B) determining whether the vehicle was idling when the data was captured; and

(C) if it is determined in the act (B) that the vehicle was idling when the data was captured, determining, using the data received in the act (A), whether the vehicle is insured by at least one of the user, a person with whom the user is associated, and an organization with which the user is associated.

17. A computing system, comprising:

at least one computer-readable storage device, storing instructions; and

at least one computer processor, programmed via the instructions to:

receive data captured by a personal electronic device residing within a vehicle having a motor, the data captured by the personal electronic device relating to a physical phenomenon occurring as a result of operation of the vehicle motor, the personal electronic device being associated with a user;

determine whether the vehicle was idling when the data was captured; and

if it is determined that the vehicle was idling when the data was captured, determine, using the data, whether the vehicle is insured by at least one of the user, a person with whom the user is associated, and an organization with which the user is associated.

18. The computing system of claim 17 , wherein the vehicle is an automobile.

19. The computing system of claim 18 , wherein the at least one computer processor is programmed via the instructions to identify a make and model of the automobile.

20. The computing system of claim 17 , wherein the data received by the at least one computer processor indicates acceleration of the personal electronic device over time.

21. The computing system of claim 20 , wherein the data received by the at least one computer processor indicates acceleration of the personal electronic device in x-, y- and z-directions over time.

22. The computing system of claim 17 , wherein the data received by the at least one computer processor indicates a location of the personal electronic device over time.

23. The computing system of claim 17 , wherein the data received by the at least one computer processor indicates an orientation of the personal electronic device at one or more points in time.

24. The computing system of claim 17 , wherein the at least one computer processor is programmed via the instructions to, prior to receiving the data, train at least one model to identify the vehicle using other data captured by at least one personal electronic device residing within at least one vehicle during operation of the at least one vehicle, and to apply the at least one model to the received data in making the determination whether the vehicle is insured by at least one of the user, a person with whom the user is associated, and an organization with which the user is associated.

25. The computing system of claim 24 , wherein:

the other data indicates acceleration of the personal electronic device in the time domain; and

the at least one computer processor is programmed via the instructions to compute, from the data indicating acceleration of the personal electronic device in the time domain, one or more power spectra in the frequency domain, and training the at least one model using the one or more power spectra in the frequency domain.

26. The computing system of claim 17 , wherein the at least one computer processor is programmed via the instructions to employ a result of the determination whether the vehicle is insured by at least one of the user, a person with whom the user is associated, and an organization with which the user is associated in providing vehicle-specific information to a user.

27. The computing system of claim 17 , wherein the at least one computer processor is programmed via the instructions to receive other information captured by the personal electronic device relating to the operation of the vehicle.

28. The computing system of claim 27 , wherein the other information relates to behavior of the user associated with the personal electronic device during operation of the vehicle.

29. The computing system of claim 17 , wherein the personal electronic device is a smartphone.