Sprint Communications Comapny L.p.

Adam C Pickett

Matthew Habiger

Robert H Burcham

Michael Arthur Gailloux

Naseer A Dari

Lauren King

Vanessa L Suwak

Jason J Garcia

Peter K O'Brien

Samuel Golomeke

Tae-Woo Cha

Jared K Harpole

Timothy Kevin McGinnis

Prashanth Dannamaneni

Brooke M Bobe

Gina R Donnici

Lance D Parker

Namfon Brizendine

A method of analyzing location data of mobile communication devices. The method comprises determining a dwell time of each of a plurality of mobile communication devices in location clusters associated with each device by an application that executes on a computer, determining a centroid of the location clusters by the application, for each of the plurality of mobile communication devices, determining by the application centroids of the location clusters associated with the mobile communication device that are located within a predefined geometry, analyzing by the application the dwell times of mobile communication devices in the predefined geometry based on the determination of centroids that are located within the predefined geometry, and building a building traffic flow survey by the application based on the analysis of dwell times of mobile communication devices in the predefined geometry.

Mobile communication device location data analysis supporting build-out decisions

A method of determining traffic in a subway system. The method comprises analyzing a first type of location data associated with mobile communication devices to determine subway entry points and subway exit points of the devices, analyzing different pairs of entry and exit points to infer probabilities that a device transits between a pair of entry points by different routes based on a WiFi SSID included in the first type of location data, analyzing a second type of location data associated with mobile communication devices to identify entry and exit points of the devices based on a cell site identity included in the second type of location data, for each pair of entry point and exit point associated with the second type of location data, determining a fractional route count for the device transiting between the entry and exit points for each different subway route based on the inferred probabilities.

System and method of mobile phone location in a subway transit environment

A mobile communication device. The device comprises a cellular radio transceiver, a short range radio transceiver, a processor, a memory, and an electronic commerce mobile application stored in the memory. When executed by the processor, the electronic commerce mobile application determines an inventory of mobile applications of the device, transmits the inventory via one of the radio transceivers to a security server application executing on a computer system external to the mobile communication device, and detects when the device enters a retail store associated with the electronic commerce mobile application. The electronic commerce mobile application further, responsive to detecting entrance to the retail store, transmits a request for a security risk score to the security server application executing on the computer system external to the device, and implements an escalated level of security check during a payment transaction conducted based on a received security risk score exceeding a predefined threshold.

Electronic commerce fraud mitigation in a wireless communication network

A method to determine a traffic flow at a point-of-interest (POI). The method comprises presenting a user interface on a display that shows segments overlaid on a map, receiving input that defines a perimeter of a POI, determining route segments contained within the perimeter of the POI, creating a POI object that comprises the identities of the route segments contained within the perimeter of the POI, whereby a geolocation of the POI is defined, for each of a plurality of mobile communication devices, determining route segments traversed by the mobile communication device based on geolocations of the device, and determining a number of different mobile communication devices that intersect with the POI based on comparing the route segments traversed by the mobile communication devices to the route segments associated to the POI object, whereby a traffic flow at the geolocation of the POI is determined.

Route segmentation analysis for points of interest

A method of building a statistical survey of locations of mobile communication devices partitioned by geohashes. The method comprises accessing event data items from a data store, wherein each item of event data is created by a mobile communication device, based on the identities of cell sites associated with the items of event data, creating a plurality of location fixes of the mobile communication devices, wherein each of the created location fixes comprises a location determined based on a location of the identified cell site and a time stamp based on a time stamp of an associated item of event data, analyzing each of the location fixes by determining a first geohash that contains the location fix, determining counts of location fixes in each of a plurality of geohashes, and storing each count associated with a geohash in a data store, wherein each count is indexed by its associated geohash.

Traffic analysis of mobile phones partitioned by geohash

A method of determining presence of mobile communication devices at points-of-interest. The method comprises analyzing location data of a mobile communication device by a clustering application executing on a computer system, determining clusters of the location data by the clustering application, determining cluster centroids by the clustering application, determining a plurality of routes traveled by the device by a routing application based on the centroids, analyzing the centroids and the routes by a patterning application, determining a pattern of association between the centroids and the routes by the patterning application, observing a previously determined pattern of centroids by the patterning application, and based on observing the previously determined pattern of centroids, determining a route traveled by the device by the patterning application, whereby an instance of determining the route traveled by the device by the routing application is avoided.

Pattern matching in point-of-interest (POI) traffic analysis

A method of tuning a point-of-interest (POI) definition in a mobile communication device location data analysis application. The method comprises configuring a POI group definition into the analysis application, causing by a POI tuning application the analysis application to execute and count intersections of routes of mobile communication devices with a POI group based on the POI group definition, for each POI that is associated with the POI group, assigning the count of intersections with the POI group by the analysis application to a count of intersections of routes of devices with the POI, receiving information about the count of intersections of the routes of devices with the plurality of POIs in the POI group from the analysis application by the POI tuning application, and presenting the information about the count of intersections in a user interface by the POI tuning application, whereby the analysis application is iteratively tuned.

Point of interest (POI) definition tuning framework

A geolocating method to determine a traffic flow at a point-of-interest (POI). The method comprises clustering geolocation data associated with a plurality of mobile communication devices by an analysis application executing on a computer system based on different clustering algorithms associated with different travel modes identified by the geolocation data, for each of the plurality of mobile communication devices, determining travel routes traversed by the mobile communication device by the analysis application based on the clustering of the geolocation data and based on a map of travel routes, where each of the travel routes is one of a highway travel route, a light rail travel route, or a footpath travel route, and, for each of a plurality of POIs, determining by the analysis application a number of different mobile communication devices that intersect with the POI based on the travel routes traversed by the mobile communication devices.

Pre-processing of mobile communication device geolocations according to travel mode in traffic analysis

A method to determine a traffic flow at a point-of-interest (POI). The method comprises determining route segments contained within a predefined POI geometry, creating a POI object that comprises the identities of the route segments contained within the POI geometry, whereby a geolocation of the POI is defined, for each of a plurality of mobile communication devices, determining route segments traversed by the mobile communication device based on geolocations of the device, and determining a number of different mobile communication devices that intersect with the POI based on comparing the route segments traversed by the mobile communication devices to the route segments associated to the POI object, whereby a traffic flow at the geolocation of the POI is determined.

Transformation of point of interest geometries to lists of route segments in mobile communication device traffic analysis

A method of tuning a subscriber travel route building engine. The method comprises presenting a user interface that is configured to receive a location cluster radius parameter input by a tuning application executing on a computer system, configuring the location cluster radius parameter input by the tuning application into a location cluster radius parameter of a route building engine application, causing by the tuning application the route building engine application to execute and determine a count of intersections of routes of mobile communication devices with a point of interest based on the location cluster radius parameter, receiving information about the count of intersections of the routes of mobile communication devices with the POI from the route building engine application by the tuning application, and presenting the information about the count of intersections in the user interface by the tuning application, whereby the route building engine is iteratively tuned.

Route building engine tuning framework

A system for injection and maintenance of artifact objects within user equipment (UE) is disclosed. The UE comprises a display, a transceiver, a processor, and a memory storing a mobile application comprising a script and an injection engine that, upon being executed, the processor receives a payload comprising a visual object and an artifact object. The UE determines placement of the visual object and the artifact object into the script of the mobile application, injects the visual object and the artifact object into the script, and presents the visual object at an anchor location on the interface. In response to input to remove presentation of the visual object on the display, the UE determines that the visual object is associated with the artifact object, and removes presentation of the visual object from the display. The UE presents the artifact object at a second anchor location on the interface.

System and methods for injection and maintenance of artifact objects within user equipment

A method of providing a keyboard input on a touchscreen display of a mobile communication device. The method comprises receiving a plurality of keywords indexed to completion action recommendations by a client keyboard application executing on a mobile communication device, where the completion action recommendations define suggestions for completing a partial keyboard input string, storing the keywords indexed to completion action recommendations on the device, searching the stored keywords by the client keyboard application based on an identity of the application executing on the device that is associated with a keyboard input, based on a current location of the device, and based on at least one word in the partial keyboard input string, and providing a prompt associated with the completion action recommendation found based on the search of the stored keywords on the touchscreen of the device, whereby inputting data via the keyboard to the application executing is promoted.

Growing community of inventors

Prairie Village, KS, United States of America

Adam C Pickett