US 12,452,630 B2
Vehicle mobility patterns based on user location data
Matei Stroila, Chicago, IL (US); Narayanan Alwar, Bloomingdale, IL (US); Timothy W. Gibson, Barrington, IL (US); and Sunil Chintakindi, Naperville, IL (US)
Assigned to Allstate Insurance Company, Northbrook, IL (US)
Filed by Allstate Insurance Company, Northbrook, IL (US)
Filed on Sep. 13, 2023, as Appl. No. 18/367,797.
Application 18/367,797 is a continuation of application No. 17/404,697, filed on Aug. 17, 2021, granted, now 11,800,323.
Prior Publication US 2024/0073647 A1, Feb. 29, 2024
Int. Cl. H04W 4/029 (2018.01); G06F 16/29 (2019.01); H04W 4/021 (2018.01); H04W 64/00 (2009.01)
CPC H04W 4/029 (2018.02) [G06F 16/29 (2019.01); H04W 4/022 (2013.01); H04W 64/006 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a processor;
a display with a user interface; and
a memory unit storing computer-executable instructions, which when executed by the processor, cause the system to:
receive location data that includes a plurality of trips by a user between a plurality of origins and a plurality of destinations;
form, by a machine learning algorithm operating on the processor, one or more clusters of nodes based on a singular shared cluster type, wherein each cluster is a different hierarchical level;
generate a mobility graph that includes at least one of the cluster of nodes and respective edges and the respective edges are defined by a portion of the plurality of trips based on the cluster of nodes;
generate a region of mobility based on the mobility graph, wherein the region of mobility is a spatial region based on the cluster of nodes and the respective edges; and
cause to display, at a graphical interface, the region of mobility for the user.