MOBILITY BASED LOCATION DETERMINATION

• US 20160116274A1
• Filed: 10/27/2014
• Published: 04/28/2016
• Est. Priority Date: 10/27/2014
• Status: Abandoned Application

• Current Assignee: AT&T Mobility II LLC (AT&T, Inc.)
• Original Assignee: AT&T Mobility II LLC (AT&T, Inc.)
• Inventors: Meredith, Sheldon Kent, Fix, Jeremy, Tipton, Rick
• Application Number:
  US14/524,534
• Publication Number:
  US 20160116274A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A determination as to whether a device is within a region may be based on an accuracy of a determined location of the device and on a mobility status of the device. For example, upon a determination that a device is moving, the device may be removed from candidate devices that may otherwise be determined to be at or within a particular location. In example aspects, a location may be a geographic spatial location, a geofence, a logical fence, or any appropriate combination thereof.

Claims

1. An apparatus comprising:

a processor; and

memory coupled to the processor, the memory comprising executable instructions that when executed by the processor cause the processor to effectuate operations comprising;

receiving device data;

performing geospatial filtering on at least a portion of the received device data to determine a probability of the device being within a geographic region;

determining, based on the received device data, a mobility status of the device; and

determining that the device is within the geographic region based on;

the probability being greater than or equal to a threshold probability; and

the mobility status being an acceptable mobility status.

2. The apparatus of claim 1, the operations further comprising:

determining that the device is not within the geographic region based on at least one of;

the probability being less than to a threshold probability;

or

the mobility status being an unacceptable mobility status.

3. The apparatus of claim 1, wherein:

an acceptable mobility status is indicative of the device being stationary; and

an un acceptable mobility status is indicative of the device being nonstationary; and

4. The apparatus of claim 1, wherein the device data comprises:

an identification of the device;

a location record for device; and

an accuracy level associated with the location record of the device.

5. The apparatus of claim 4, the operations further comprising identifying, based on the location record, a bin in a database;

identifying, at least one first geofence in which the bin is located;

identifying, based on the identification of the device, at least one second geofence that is associated with the device;

determining an intersection of the at least one first geofence and the at least one second geofence; and

determining, the probability of the device being in the geographic region based on the determined intersection.

6. The apparatus of claim 5, wherein:

the probability of the device being in the geographic region is further based on an accuracy level associated with the location record of the device.

7. The apparatus of claim 1, wherein:

the device data comprises an accuracy level associated with a location of the device; and

the probability of the device being within the geographic region is based on the accuracy level.

8. A method comprising:

receiving, by a processor, device data;

performing, by the processor, geospatial filtering on at least a portion of the received device data to determine a probability of the device being within a geographic region;

determining, by the processor, based on the received device data, a mobility status of the device; and

determining, by the processor, that the device is within the geographic region based on;

the probability being greater than or equal to a threshold probability; and

the mobility status being an acceptable mobility status.

9. The method of claim 8, further comprising:

determining that the device is not within the geographic region based on at least one of;

the probability being less than to a threshold probability;

or

the mobility status being an unacceptable mobility status.

10. The method of claim 8, wherein:

an acceptable mobility status is indicative of the device being stationary; and

an un acceptable mobility status is indicative of the device being nonstationary; and

11. The method of claim 8, wherein the device data comprises:

an identification of the device;

a location record for device; and

an accuracy level associated with the location record of the device.

12. The method of claim 11, further comprising

identifying, based on the location record, a bin in a database;

identifying, at least one first geofence in which the bin is located;

identifying, based on the identification of the device, at least one second geofence that is associated with the device;

determining an intersection of the at least one first geofence and the at least one second geofence; and

determining, the probability of the device being in the geographic region based on the determined intersection.

13. The method of claim 12, wherein:

the probability of the device being in the geographic region is further based on an accuracy level associated with the location record of the device.

14. The method of claim 8, wherein:

the device data comprises an accuracy level associated with a location of the device; and

the probability of the device being within the geographic region is based on the accuracy level.

15. A computer-readable storage medium comprising executable instructions that when executed by a processor cause the processor to effectuate operations comprising:

receiving device data;

performing geospatial filtering on at least a portion of the received device data to determine a probability of the device being within a geographic region;

determining, based on the received device data, a mobility status of the device; and

determining that the device is within the geographic region based on;

the probability being greater than or equal to a threshold probability; and

the mobility status being an acceptable mobility status.

16. The computer-readable storage medium of claim 15, the operations further comprising:

determining that the device is not within the geographic region based on at least one of;

the probability being less than to a threshold probability;

or

the mobility status being an unacceptable mobility status.

17. The computer-readable storage medium of claim 15, wherein:

an acceptable mobility status is indicative of the device being stationary; and

an un acceptable mobility status is indicative of the device being nonstationary; and

18. The computer-readable storage medium of claim 15, the device data comprising an identification of the device, a location record for device, and an accuracy level associated with the location record of the device, the operations further comprising

identifying, based on the location record, a bin in a database;

identifying, at least one first geofence in which the bin is located;

identifying, based on the identification of the device, at least one second geofence that is associated with the device;

determining an intersection of the at least one first geofence and the at least one second geofence; and

determining, the probability of the device being in the geographic region based on the determined intersection.

19. The computer-readable storage medium of claim 18, wherein:

the probability of the device being in the geographic region is further based on an accuracy level associated with the location record of the device.

20. The computer-readable storage medium of claim 15, wherein:

the device data comprises an accuracy level associated with a location of the device; and

the probability of the device being within the geographic region is based on the accuracy level.