Transportation analytics employing timed fingerprint location information
First Claim
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; and
aggregating the set of location characteristics with motion segment information related to the user equipment where the motion segment information is received by the processor.
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Accused Products
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.
324 Citations
20 Claims
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1. A system, comprising:
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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 device receiving, 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; and aggregating the set of location characteristics with motion segment information related to the user equipment where the motion segment information is received by the processor. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
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16. A method, comprising:
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receiving, by a system comprising a processor, first differential time measurement information for a first NodeB device and a second NodeB device, and timed fingerprint location information from a timed fingerprint location information store for a user equipment, wherein the timed fingerprint location information is based on a second differential timing measurement for a NodeB site pair of devices comprising the first NodeB device and the second NodeB device, the second differential timing measurement is correlated to a geographic location determined before the timed fingerprint location information is stored on the timed fingerprint location information store, the timed fingerprint location information comprises the second differential timing measurement, and the second differential timing measurement is used in determining the geographic location of the user equipment by determining an intersection of geographic location values for the first NodeB site pair of devices and other geographic location values for another pair of NodeB devices based on the timed fingerprint location information and the first differential timing measurement without recalculating the geographic location; analyzing, by the system, the timed fingerprint location information to determine a location characteristic; generating, by the system, for use in a transportation analytics system, motion segment information based on a set of location characteristics comprising the location characteristic; and aggregating the set of location characteristics with motion segment information related to the user equipment in response to the motion segment information being received by the processor. - View Dependent Claims (17, 18)
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19. A non-transitory computer readable storage device having instructions stored there on that, in response to execution, cause a system comprising a processor to perform operations, comprising:
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receiving timed fingerprint location information associated with a user equipment from a timed fingerprint location information store, wherein the timed fingerprint location information is based on a differential timing measurement for a pair of devices comprising a first NodeB device and a second NodeB device, the differential timing measurement is correlated to a geographic location determined before the timed fingerprint location information is stored on the timed fingerprint location information store, the differential timing measurement is stored as part of the timed fingerprint location information, and the 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 timed fingerprint location information and a device timing measurement related to the first and second NodeB devices without redetermining the geographic location; determining a location characteristic value based on satisfaction of a defined condition relating to the timed fingerprint location information; facilitating access to a set of location characteristic values associated with the user equipment, the set of location characteristic values comprising the location characteristic value; aggregating the set of location characteristics with motion segment information related to the user equipment where the motion segment information is received by the processor; and determining traffic information based on the set of location characteristic values. - View Dependent Claims (20)
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Specification