Generation and utilization of a database of cell phone usage events

• US 9,055,407 B1
• Filed: 11/07/2011
• Issued: 06/09/2015
• Est. Priority Date: 11/16/2010
• Status: Active Grant

• Current Assignee: Tamiras Per Pte Ltd LLC (Intellectual Ventures LLC)
• Original Assignee: Mykee Acquistions LLC
• Inventors: Riemer, Michael S., Costello, Michael J., Howard, Matthew J.
• Primary Examiner(s): SIVJI, NIZAR N
• Application Number:
  US13/291,043
• Time in Patent Office: 1,310 Days
• Field of Search: 701/36, 701/200, 455/67, 455/557, 455/345, 340/525
• US Class Current: 1/1
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: H04M 1/72454 according to context-related or environment-related conditions
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information

Abstract

A system and program of instructions for generating and utilizing a database of driving trip data and event data to identify drivers by mobile devices during a driving trip, comprising identifying a driver, determining a driving trip based on driving trip data, identifying device usage events associated with the driver, determining a driving context for the driver based on the driving trip, the usage events and context data, filtering the usage event data associated with the portable electronic device based on the driving context to create a set of risk events that occurred during the trip, and taking some action based on the set of risk events. The usage event data includes phone calls, text and other forms of messages, emails, applications, and other usage information, including usage associated with third party sources, each of which occur during the operation of a motor vehicle during a trip.

Claims

1. A non-transitory computer readable medium having instructions embodied thereon for creating a set of distracted driving events from one or more driving trips, the instructions comprising instructions that, in response to being executed by a computing device, cause the computing device to:

determine, based on driving trip data from one or more data sources, one or more driving trips for a plurality of drivers of one or more vehicles;

identify usage event data of one or more portable electronic devices, the usage event data corresponding to usage of the one or more portable electronic devices that occurred during the one or more driving trips;

determine, based on the one or more driving trips and context data acquired from the one or more data sources, one or more driving contexts for one or more drivers of the plurality of drivers;

filter the usage event data based on the driving context to create a set of distracted driving events for the one or more drivers that occurred during the one or more driving trips due to usage of the one or more portable electronic devices;

aggregate data from the set of distracted driving events for the one or more drivers to generate an aggregated set of distracted driving events for the plurality of drivers; and

take one or more actions based on the aggregated set of distracted driving events.

2. The non-transitory computer readable medium as recited in claim 1, wherein the usage event data includes one or more of a phone call placed, a phone call received, a phone call duration, a text message sent, a text message received, a text message response, an email sent, an email received, and an email response.

3. The non-transitory computer readable medium as recited in claim 1, wherein the usage event data includes a text message received, and wherein the instructions to filter comprise instructions that, in response to being executed by the computing device, cause the computing device to exclude the text message received from the set of distracted driving events.

4. The non-transitory computer readable medium as recited in claim 1, wherein the usage event data includes a text message received, a phone call placed and a text message sent, the text message received corresponding to a first phone number, and either the phone call placed or the text message sent corresponding to a second phone number, and wherein the instructions to filter comprise instructions that, in response to being executed by the computing device, cause the computing device to include the text message received in the set of distracted driving events if the first phone number matches the second phone number and if the text message sent was sent or the phone call placed was placed within a predetermined time period of the text message being received.

5. The non-transitory computer readable medium as recited in claim 1, wherein the usage event data includes a text message received, wherein the context data includes risky driving behavior data, and wherein the instructions to filter comprise instructions that, in response to being executed by the computing device, cause the computing device to include the text message received if the risky driving behavior data occurs within a predetermined time of the text message being received.

6. The non-transitory computer readable medium as recited in claim 1, wherein a location is determined based on telemetry data for the one or more vehicles from the one or more electronic data sources.

7. The non-transitory computer readable medium as recited in claim 1, wherein a location is determined based on telemetry data for the one or more portable electronic devices from the one or more electronic data sources.

8. The non-transitory computer readable medium as recited in claim 1, wherein a location is determined based on a time and a date for one or more usage events of the one or more portable electronic devices among the usage event data, an approximate speed of the one or more vehicles at the time of the one or more usage events, and environmental data associated with the one or more vehicles at the time of the one or more usage events.

9. The non-transitory computer readable medium as recited in claim 1, wherein the one or more data sources include one or more manually entered data sets comprising an indication of one or more of an operation, a location, or a movement of the one or more vehicles.

10. The non-transitory computer readable medium as recited in claim 1, wherein the instructions further comprise instructions that, in response to being executed by the computing device, cause the computing device to:

display the aggregated set of distracted driving events.

11. The non-transitory computer readable medium as recited in claim 1, wherein the instructions further comprise instructions that, in response to being executed by the computing device, cause the computing device to:

compare the set of distracted driving events for the one or more drivers to the aggregated set of distracted driving events to create a comparative set of distracted driving events; and

display the comparative set of distracted driving events.

12. The non-transitory computer readable medium as recited in claim 1, wherein the instructions further comprise instructions that, in response to being executed by the computing device, cause the computing device to send an alert to one or more recipients in response to one or more triggers associated with the set of distracted driving events.

13. The non-transitory computer readable medium as recited in claim 12, wherein the alert comprises one or more from the group consisting of an email, a text message, a voice message, a phone call and an instant message.

14. The non-transitory computer readable medium as recited in claim 1, wherein the instructions further comprise instructions that, in response to being executed by the computing device, cause the computing device to issue a message to the one or more drivers based on the set of distracted driving events.

15. The non-transitory computer readable medium as recited in claim 1, wherein the instructions further comprise instructions that, in response to being executed by the computing device, cause the computing device to reward the one or more drivers based on the set of distracted driving events.

16. The non-transitory computer readable medium as recited in claim 1, wherein the instructions further comprise instructions that, in response to being executed by the computing device, cause the computing device to:

identify a driver among the one or more drivers; and

identify a vehicle among the one or more vehicles driven by the driver during a driving trip.

17. The non-transitory computer readable medium as recited in claim 16, wherein the instructions that cause the computing device to identify the driver comprise instructions that, in response to being executed by the computing device, cause the computing device to identify the driver by at least a name, a portable electronic device, or an identification.

18. The non-transitory computer readable medium as recited in claim 1, wherein the instructions further comprise instructions that, in response to being executed by the computing device, cause the computing device to identify a set of portable device usage metrics from the usage event data for the one or more drivers during the one or more driving trips.

19. The non-transitory computer readable medium as recited in claim 18, wherein the set of portable device usage metrics include a percent of total time spent using the one or more portable electronic devices, a total number of usage events per the one or more driving trips, and a total number of usage events per a given time period or a given distance driven during the one or more driving trips.

20. The non-transitory computer readable medium as recited in claim 1, wherein the instructions that cause the computing device to filter comprise instructions that, in response to being executed by the computing device, cause the computing device to assign a risk factor and a score to one or more usage events among the usage event data.

21. The non-transitory computer readable medium as recited in claim 1, wherein data acquired from the one or more data sources includes an identification of an application or a service accessed by the one or more portable electronic devices.

22. The non-transitory computer readable medium as recited in claim 21, wherein the data acquired from the one or more data sources includes one or more of a bandwidth consumed in association with the application or the service, an amount of time spent using the application or the service, and an action associated with the application or the service.

23. The non-transitory computer readable medium as recited in claim 21, wherein the application or service accessed by the one or more portable electronic devices includes an application or service running on the portable electronic device and an application or service running in a remote network location.

24. The non-transitory computer readable medium as recited in claim 1, wherein the context data acquired from the one or more data sources includes an identification of a website accessed by the one or more portable electronic devices.

25. The non-transitory computer readable medium as recited in claim 24, wherein the context data acquired from the one or more data sources includes one or more of a bandwidth consumed in association with the website, an amount of time spent using the website, and an action associated with the website.

26. The non-transitory computer readable medium as recited in claim 1, wherein the instructions that cause the computing device to filter comprise instructions that, in response to being executed by the computing device, cause the computing device to filter the usage event data based on a user preference.

27. A system for identifying when one or more drivers could be distracted by one or more portable electronic devices used by the one or more drivers while driving one or more vehicles, the system comprising:

a database configured to store driving trip data, usage data associated with the one or more portable electronic devices, and context data; and

one or more computing devices configured to;

filter the driving trip data, the usage data, and the context data in the database to determine one or more driving trips for a plurality of drivers,

identify usage event data corresponding to usage of the one or more portable electronic devices that occurred during the one or more driving trips,

determine one or more driving contexts for the one or more drivers of the plurality of drivers,

create a set of distracted driving events for the one or more drivers that occurred during the one or more driving trips due to usage of the one or more portable electronic devices,

aggregate data from the set of distracted driving events for the one or more drivers to generate an aggregated data set of distracted driving events for the plurality of drivers, and

take one or more actions based on the aggregated set of distracted driving events.

28. The system as recited in claim 27, further comprising:

one or more displays configured to display at least a portion of the set of distracted driving events.

29. The system as recited in claim 28, wherein:

the one or more displays are further configured to display the aggregated set of distracted driving events.

30. The system as recited in claim 28, wherein:

the one or more computing devices are further configured to compare the set of distracted driving events for the one or more drivers to the aggregated set of distracted driving events to create a comparative set of distracted driving events, and

the one or more displays are further configured to display the comparative set of distracted driving events.

31. The system as recited in claim 27, wherein the one or more actions include sending an alert to one or more recipients in response to one or more triggers associated with the set of distracted driving events.

32. The system as recited in claim 27, wherein the one or more actions include issuing a message to the one or more drivers based on the set of distracted driving events.

33. The system as recited in claim 27, wherein the one or more actions include identifying a set of portable device usage metrics from the usage event data for the one or more drivers during the one or more driving trips.

34. A method for creating a set of distracted driving events from one or more driving trips by a computing system comprising one or more computing devices, the method comprising:

determining, by the computing system, based on driving trip data from one or more data sources, one or more driving trips for a plurality of drivers of one or more vehicles;

identifying, by the computing system, usage event data of one or more portable electronic devices, the usage event data corresponding to usage of the one or more portable electronic devices that occurred during the one or more driving trips;

determining, by the computing system, based on the one or more driving trips and context data acquired from the one or more data sources, one or more driving contexts for one or more drivers of the plurality of drivers;

filtering, by the computing system, the usage event data based on the driving context to create a set of distracted driving events for the one or more drivers that occurred during the one or more driving trips due to usage of the one or more portable electronic devices;

aggregating, by the computing system, data from the set of distracted driving events for the one or more drivers to generate an aggregated set of distracted driving events for the plurality of drivers; and

taking, by the computing system, one or more actions based on the aggregated set of distracted driving events.

35. The method as recited in claim 34, further comprising:

displaying, on a display, at least a portion of the set of distracted driving events.

36. The method as recited in claim 35, further comprising:

displaying, on a display, the aggregated set of distracted driving events.

37. The method as recited in claim 35, further comprising:

comparing the set of distracted driving events for a driver among the one or more drivers to the aggregated set of distracted driving events to create a comparative set of distracted driving events; and

displaying the comparative set of distracted driving events.

38. The method as recited in claim 34, wherein taking the one or more actions comprises sending an alert to one or more recipients in response to one or more triggers associated with the set of distracted driving events.

39. The method as recited in claim 34, wherein taking the one or more actions comprises issuing a message to the one or more drivers based on the set of distracted driving events.

40. The method as recited in claim 34, wherein taking the one or more actions comprises identifying a set of portable device usage metrics from the usage event data for the one or more drivers during the one or more driving trips.

41. A system for creating a set of distracted driving events from one or more driving trips, the system comprising:

means for determining, based on driving trip data from one or more data sources, one or more driving trips for a plurality of drivers of one or more vehicles;

means for identifying usage event data of one or more portable electronic devices, the usage event data corresponding to usage of the one or more portable electronic devices that occurred during the one or more driving trips;

means for determining, based on the one or more driving trips and context data acquired from the one or more data sources, one or more driving contexts for one or more drivers of the plurality of drivers;

means for filtering the usage event data based on the driving context to create a set of distracted driving events for the one or more drivers that occurred during the one or more driving trips due to usage of the one or more portable electronic devices;

means for aggregating data from the set of distracted driving events for the one or more drivers to generate an aggregated set of distracted driving events for the plurality of drivers; and

means for taking one or more actions based on the aggregated set of distracted driving events.

42. The system as recited in claim 41, further comprising:

means for displaying at least a portion of the set of distracted driving events.

43. The system as recited in claim 42, further comprising:

means for displaying comprises means for displaying the aggregated set of distracted driving events.

44. The system as recited in claim 42, further comprising:

means for comparing the set of distracted driving events for the one or more drivers to the aggregated set of distracted driving events to create a comparative set of distracted driving events,

wherein the means for displaying comprises means for displaying the comparative set of distracted driving events.

45. The system as recited in claim 41, wherein the means for taking one or more actions comprises means for sending an alert to one or more recipients in response to one or more triggers associated with the set of distracted driving events.

46. The system as recited in claim 41, wherein the means for taking one or more actions comprises means for issuing a message to the one or more drivers based on the set of distracted driving events.

47. The system as recited in claim 41, wherein the means for taking one or more actions comprises means for identifying a set of portable device usage metrics from the usage event data for the one or more drivers during the one or more driving trips.