System and method for determination and display of personalized distance
US-9222780-B2 · Dec 29, 2015 · US
US9747380B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9747380-B2 |
| Application number | US-201514938978-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 12, 2015 |
| Priority date | Nov 12, 2015 |
| Publication date | Aug 29, 2017 |
| Grant date | Aug 29, 2017 |
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One or more location updates from one or more user devices can be associated with one or more grid elements dividing a geographic area. Each location update corresponding to a set of user device data can be stored in a hashtable according to grid element. The hashtable can be resized based on the number of grid elements containing one or more sets of user device data. A set of grid elements can be determined to overlap a geofence, and zero or more sets of user device data can be retrieved from the hashtable corresponding to zero or more user devices located within the geofence.
Opening claim text (preview).
What is claimed is: 1. A method comprising: dividing, by a processor, a geographic area into a plurality of grid elements; associating, by the processor, one or more respective location updates from one or more respective user devices located within the geographic area to a respective grid element to create one or more non-empty grid elements by: receiving a respective location update from a respective user device; appending the respective location update to a head of a list associated with a location of the respective user device; and deleting, in response to the appending, one or more outdated location updates from a tail of the list associated with the location of the respective user device by: determining a respective user device location update interval; determining a respective clock drift parameter; determining a respective transmission latency parameter; and deleting one or more location updates having a timestamp earlier than a current time minus the respective user device location update interval, minus the respective clock drift parameter, and minus the respective transmission latency parameter; creating, by the processor, a hashtable storing each non-empty grid element, wherein each non-empty grid element comprises a respective set of user device data for each respective user device located in each respective non-empty grid element; resizing, by the processor, the hashtable based on a total number of non-empty grid elements; determining, by the processor, at least one non-empty grid element from the one or more non-empty grid elements which at least partially overlaps a geofence, wherein the geofence comprises an area overlapping the geographic area; and retrieving, by the processor and from the hashtable, each respective set of user device data associated with each respective user device located in the geofence. 2. The method of claim 1 , wherein resizing the hashtable based on a number of non-empty grid elements further comprises resizing the hashtable to contain a number of keys equal to the number of non-empty grid elements. 3. The method of claim 1 , wherein creating a hashtable further comprises creating a hashtable having a minimum number of keys equal to a square root of the number of grid elements in the plurality of grid elements and a maximal number of keys equal to the number of grid elements in the plurality of grid elements. 4. The method of claim 1 , wherein each grid element of the plurality of grid elements is equally sized. 5. The method of claim 1 , further comprising: sending, based on retrieving each respective set of user device data, a message to at least one user device located within the geofence. 6. A system comprising: a non-transitory memory storing a geographic area, one or more geofence areas intersecting at least a portion of the geographic area, and one or more sets of user device data, wherein each respective set of user device data comprises at least a respective location of each respective user device; a processor communicatively coupled to the non-transitory memory and configured to compile user device location data and to identify user devices operating in the one or more geofence areas; wherein, to compile user device location data, the processor is further configured to: divide the geographic area into a plurality of grid elements; associate each respective set of user device data to a respective grid element based on a respective location of each respective user device, wherein each respective grid element associated with one or more sets of user device data comprises a non-empty grid element by: appending a respective location update to a head of a list associated with a location of a respective user device; and deleting, in response to appending a respective location update to a head of a list, one or more outdated location updates from a tail of the list by: determining a respective user device location update interval; determining a respective clock drift parameter; determining a respective transmission latency parameter; and deleting one or more location updates having a timestamp earlier than a current time minus the respective user device location update interval, minus the respective clock drift parameter, and minus the respective transmission latency parameter; create a hashtable storing each respective set of user device data and organized by non-empty grid element; resize the hashtable based on a number of non-empty grid elements; wherein, to identify user devices operating in the one or more geofence areas, the processor is further configured to: retrieve a respective geofence area from the non-transitory memory; determine one or more non-empty grid elements intersecting, in whole or in part, the respective geofence area; and retrieve, from the hashtable and based on the one or more non-empty grid elements intersecting the respective geofence area, a set of user device data associated with each respective user device located in the respective geofence area. 7. The system of claim 6 , wherein the processor configured to resize the hashtable based on a number of non-empty grid elements is further configured to resize the hashtable to contain a number of keys equal to the number of non-empty grid elements. 8. The system of claim 6 , wherein the processor configured to identify user devices operating in the one or more geofence areas is further configured to: communicate a message to at least one of the user devices located in the respective geofence area. 9. The system of claim 6 , wherein the processor configured to divide the geographic area into a plurality of grid elements is further configured to divide the geographic area into a plurality of grid elements having equal dimensions. 10. A computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium does not comprise a transitory signal per se, the program instructions executable by a processor to cause the processor to: divide a geographic area into a plurality of grid elements; associate one or more respective location updates from one or more respective user devices to a respective grid element to create one or more populated grid elements having at least one user device operating therein by: appending a respective location update to a head of a list associated with a location of a respective user device; and deleting, in response to appending a respective location update to a head of a list, one or more outdated location updates from a tail of the list associated with a location of a respective user device by: determining a respective user device location update interval; determining a respective clock drift parameter; determining a respective transmission latency parameter; and deleting one or more location updates having a timestamp earlier than a current time minus the respective user device location update interval, minus the respective clock drift parameter, and minus the respective transmission latency parameter; create a hashtable comprising a plurality of keys, wherein at least one key is associated with respective sets of user device data corresponding to each respective populated grid element; resize the hashtable based on the one or more populated grid elements; determine an intersection between a geofence and one or more populated grid elements, wherein the geofence comprises a portion of the geographic area; and retrieve, based on determining an intersection between the geofence and the one or more populated grid elements, one or more respective sets of user device data from the hashtable corresponding to the one or more
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