Transportation analytics employing timed fingerprint location information
First Claim
1. A system, comprising:
- a processor; and
a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising;
receiving a differential time measurement for a user equipment and a first NodeB site pair of devices, wherein the first NodeB site pair of devices comprises a first NodeB device and a second NodeB device;
receiving first timed fingerprint location information comprising a historical differential timing measurement, correlated to a first historical geographic location value, for the first NodeB site pair of devices;
estimating a geographic location of the user equipment, resulting in an estimated geographic location, based on the differential time measurement, an intersection of possible locations determined from the first timed fingerprint location information for the first NodeB site pair of devices and second timed fingerprint location information for a second NodeB site pair of devices, historic geographic location values corresponding to the first NodeB site pair of devices, and a second historic geographic location value corresponding to the second NodeB site pair of devices;
generating a location characteristic associated with the user equipment based on the estimated geographic location of the user equipment to facilitate determining motion of the user equipment based on location analytics; and
determining motion segment information, based on location characteristics comprising the location characteristic, as a first function of a selectable variable, wherein the motion segment information indicates changes in the location characteristics for the user equipment, and wherein the location characteristic is determined as a second function of a type of transportation determined to be associated with the user equipment.
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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.
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Citations
20 Claims
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1. A system, comprising:
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a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising; receiving a differential time measurement for a user equipment and a first NodeB site pair of devices, wherein the first NodeB site pair of devices comprises a first NodeB device and a second NodeB device; receiving first timed fingerprint location information comprising a historical differential timing measurement, correlated to a first historical geographic location value, for the first NodeB site pair of devices; estimating a geographic location of the user equipment, resulting in an estimated geographic location, based on the differential time measurement, an intersection of possible locations determined from the first timed fingerprint location information for the first NodeB site pair of devices and second timed fingerprint location information for a second NodeB site pair of devices, historic geographic location values corresponding to the first NodeB site pair of devices, and a second historic geographic location value corresponding to the second NodeB site pair of devices; generating a location characteristic associated with the user equipment based on the estimated geographic location of the user equipment to facilitate determining motion of the user equipment based on location analytics; and determining motion segment information, based on location characteristics comprising the location characteristic, as a first function of a selectable variable, wherein the motion segment information indicates changes in the location characteristics for the user equipment, and wherein the location characteristic is determined as a second function of a type of transportation determined to be associated with the user equipment. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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13. A method, comprising:
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receiving, by a system comprising a processor, a differential time measurement for a user equipment coupled to a first NodeB site pair of devices comprising a first NodeB device and a second NodeB device; receiving, by the system, first timed fingerprint location information comprising a historical differential timing measurement, correlated to a first historical geographic location value, for the first NodeB site pair of devices; determining, by the system, a geographic location of the user equipment based on the differential time measurement, an intersection of possible locations determined from the first timed fingerprint location information for the first NodeB site pair of devices and second timed fingerprint location information for a second NodeB site pair of devices, the first historic geographic location value for the first NodeB site pair of devices, and a second historic geographic location value for the second NodeB site pair of devices; receiving, by the system, location characteristics comprising a location characteristic associated with the user equipment based on the geographic location of the user equipment, wherein the location characteristic was determined as a first function of a type of transportation determined to be associated with the user equipment; and enabling, by the system, adaptation of a transportation management system in response to determining motion segment information, based on the location characteristics, as a second function of a selectable variable. - View Dependent Claims (14, 15, 16, 17, 18)
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19. A non-transitory machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
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receiving a differential time measurement for a user equipment coupled to a first NodeB site pair of devices comprising a first NodeB device and a second NodeB device; receiving first timed fingerprint location information comprising a historical differential timing measurement, correlated to historical geographic location values, for the first NodeB site pair of devices; determining a geographic location of the user equipment based on the differential time measurement, an intersection of possible locations determined from the first timed fingerprint location information for the first NodeB site pair of devices and second timed fingerprint location information for a second NodeB site pair of devices, the historical geographic location values for the first NodeB site pair of devices, and other historical geographic location values, other than the historical geographic location values, for the second NodeB site pair of devices; receiving a location characteristic associated with the user equipment based on the geographic location of the user equipment; determining motion segment information based on the location characteristic as a first function of a temporal variable, wherein the location characteristic was determined as a second function of a type of transportation determined to be associated with the user equipment; and adapting performance of a signalized intersection based on the motion segment information. - View Dependent Claims (20)
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Specification