Transportation analytics employing timed fingerprint location information

摘要

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.

主权项

1. A system, comprising:
a memory that stores executable instructions; and a processor, coupled to the memory, that facilitates execution of the executable instructions to perform operations, comprising:
receiving a current device timing measurement related to a current differential time measurement for a first NodeB device and a second NodeB devicereceiving, from a remote timed fingerprint location information store, timed fingerprint location information associated with a user equipment, wherein the timed fingerprint location information is based on a historical differential timing measurement for a NodeB site pair of devices comprising the first NodeB device and the second NodeB device, the historical differential timing measurement is correlated to a geographic location determined before the timed fingerprint location information is stored on the remote timed fingerprint location information store, the timed fingerprint location information comprises the historical differential timing measurement, and the historical differential timing measurement is employed in determining the geographic location of the user equipment by determining an intersection of geographic location values for the NodeB site pair of devices and other geographic location values for another NodeB site pair of devices based on the current device timing measurement without recomputing the geographic location;determining a value based on satisfaction of a condition relating to the timed fingerprint location information and the current device timing measurement;generating, for use in a transportation analytics system, a set of location characteristics associated with the user equipment based on the value; andaggregating the set of location characteristics with motion segment information related to the user equipment where the motion segment information is received by the processor.