TRANSPORTATION ANALYTICS EMPLOYING TIMED FINGERPRINT LOCATION INFORMATION

• US 20130103290A1
• Filed: 10/20/2011
• Published: 04/25/2013
• Est. Priority Date: 02/25/2010
• Status: Active Grant

• Current Assignee: AT&T Mobility II LLC (AT&T, Inc.)
• Original Assignee: AT&T Mobility II LLC (AT&T, Inc.)
• Inventors: Hardin, Stephen Thomas, Carey, Charles A., Morsbach, Zachary Orlynn, Becker, Thomas Rodger, Webb, Brad
• Granted Patent: US 9,196,157 B2
• Time in Patent Office: Days
• US Class Current: 701/117
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

The disclosed subject matter provides for traffic analysis employing timed fingerprint location information. In an aspect, TFL information can be associated with location characteristics for a UE. These location characteristics can describe the motion of the UE. As such, with proper analysis, the motion of the UE can be correlated to traffic patterns. Transportation analytics can employ TFL information to provide real time or near real time traffic information, forecast traffic conditions, or automate response to traffic conditions based on TFL information. Whereas TFL can provide advantages over other types of location information systems, leveraging TFL information in traffic analysis can reflect these advantages. Further, whereas TFL information can be gathered from nearly all modern and many legacy mobile devices, large volumes of TFL information can be employed in related transportation analytics.

Claims

1. A system, comprising:

a location component that receives timed fingerprint location information associated with a user equipment;

an analysis component that determines a value based on satisfaction of a predetermined condition relating the timed fingerprint location information; and

a motion segment information generation component that generates a set of location characteristics associated with the user equipment.

2. The system of claim 1, wherein the value is a location characteristic associated with the user equipment.

3. The system of claim 1, wherein the timed fingerprint location information is timed fingerprint location timing information.

4. The system of claim 1, wherein the timed fingerprint location information is location information derived from timed fingerprint location timing information.

5. The system of claim 1, wherein the set of location characteristics includes a location characteristic that is time variant.

6. The system of claim 5, wherein the location characteristic is a position over time.

7. The system of claim 1, further comprising a timed fingerprint location history component that receives historic timed fingerprint location information.

8. The system of claim 1, wherein the analysis component further comprises a decision engine component that determines the satisfaction of the predetermined condition relating to the timed fingerprint location information associated with the location of the user equipment.

9. The system of claim 8, further comprising a rule component configured to receive a rule associated with vehicular traffic analysis.

10. The system of claim 9, wherein the rule associated with vehicular traffic analysis relates to control of traffic control signal systems for signalized roadway intersections.

11. The system of claim 8, further comprising a rule component configured to receive a rule associated with non-vehicular traffic analysis.

12. The system of claim 8, further comprising a rule component configured to receive a rule associated with predictive vehicular traffic analysis.

13. The system of claim 8, the user equipment comprises the location component and the analysis component.

14. The system of claim 8, wherein a remote computing component comprises the analysis component.

15. The system of claim 14, wherein the remote computing component further comprises:

a receiver component that receives timed fingerprint location motion segment information comprising a location characteristic associated with the user equipment;

an aggregation component to aggregate traffic analysis information, including timed fingerprint location motion segment information; and

a traffic information generation component that generates traffic information based on aggregated traffic analysis information.

16. A method, comprising:

receiving timed fingerprint location information for a user equipment;

analyzing the timed fingerprint location information to determine a location characteristic; and

generating motion segment information based on a set of location characteristics.

17. The method of claim 16, further comprising:

aggregating the motion segment information with non-timed fingerprint location based information into a mixed data set; and

determining traffic information based on the mixed data set.

18. The method of claim 16, further comprising:

aggregating the motion segment information with other timed fingerprint location based information into a timed fingerprint location data set; and

determining traffic information based on the timed fingerprint location data set.

19. A computing device comprising computer-executable components, the operation of which is facilitated by a processor, at least one of the computer-executable components are configured to:

receive timed fingerprint location information associated with a user equipment;

determine a location characteristic value based on satisfaction of a predetermined condition relating the timed fingerprint location information;

facilitate access to a set of location characteristic values associated with the user equipment; and

determine traffic information based on the set of location characteristic values.

20. The computing device of claim 19, wherein at least one of the computer-executable components is further configured to forecast traffic patterns based on the set of location characteristic values and a historic timed fingerprint location information data set.