System and method of creating custom dynamic neighborhoods for individual drivers

• US 10,830,603 B1
• Filed: 11/08/2018
• Issued: 11/10/2020
• Est. Priority Date: 11/08/2018
• Status: Active Grant

• Current Assignee: BlueOwl, LLC (State Farm)
• Original Assignee: BlueOwl, LLC (State Farm)
• Inventors: Sanchez, Kenneth J.
• Primary Examiner(s): Trivedi, Atul
• Application Number:
  US16/183,797
• Time in Patent Office: 733 Days
• Field of Search: 701420
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3667 Display of a road map G01C21/3614 takes precedence; guidance using 3D or perspective road maps G01C21/3635
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G01C 21/3856 Data obtained from user input
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/024 Guidance services
• CPC Class Codes: H04W 4/40 for vehicles, e.g. vehicle-to-pedestrians [V2P]

Abstract

A system and methods relate to, inter alia, aggregating geolocation data and auxiliary data associated with a plurality of driving activities. The system and methods may further identify the plurality of driving activities that have common geolocation data points based on a geolocation threshold. The system and methods may further determine, from among the identified plurality of driving activities, one or more designated driving activities based on an auxiliary threshold. The system and methods may further generate the neighborhood map that includes the one or more designated driving activities. The system and methods may further transmit a visual representation of, or electronic message detailing, the neighborhood map to a mobile device of a user for display, or otherwise causing the neighborhood map to be displayed to the user.

Claims

1. A computer-implemented method for generating neighborhood maps, the method comprising:

aggregating, by a server, geolocation data and auxiliary data associated with a user'"'"'s driving activities;

identifying, by the server, a plurality of driving routes from the user'"'"'s driving activities that have common geolocation data points based upon a geolocation threshold;

determining, by the server, one or more designated driving routes from the identified plurality of driving routes based upon an auxiliary threshold, the one or more designated driving routes indicating frequently traversed driving routes of the user;

generating, by the server, a user neighborhood map that includes the one or more designated driving routes; and

transmitting, by the server, a visual representation of or an electronic message detailing the user neighborhood map to a mobile device of the user for display.

2. The computer-implemented method of claim 1, wherein the one or more designated driving routes comprise at least one of a single driving route or a plurality of driving sub-routes that comprise a single driving route.

3. The computer-implemented method of claim 1, wherein generating the user neighborhood map comprises utilizing one or more edges of a reference map that match the geolocation data associated with the one or more designated driving routes.

4. The computer-implemented method of claim 3, wherein generating the user neighborhood map further comprises populating the user neighborhood map with at least one of the auxiliary data associated with the one or more designated driving routes, wherein the auxiliary data comprise data pertinent to the user including one or more of:

a time stamp, speed information, acceleration information, travel frequency information, braking information, or driving score information of the user.

5. The computer-implemented method of claim 3, wherein generating the user neighborhood map further comprises populating the user neighborhood map with at least one of the auxiliary data associated with the one or more designated driving routes, wherein the auxiliary data comprise data pertinent to at least one driver different from the user including one or more of:

a time stamp, speed information, acceleration information, travel frequency information, braking information, or driving score information of the at least one driver different from the user.

6. The computer-implemented method of claim 1, further comprising:

storing, by the server, the aggregated geolocation data and auxiliary data associated with the user'"'"'s driving activities into a searchable activity table; and

wherein identifying the plurality of driving routes comprises searching the activity table to identify the plurality of driving routes from the user'"'"'s driving activities that have the common geolocation data points.

7. The computer-implemented method of claim 1, wherein the auxiliary threshold is representative of a travel frequency.

8. A server for generating neighborhood maps, the server comprising:

a memory configured to store non-transitory computer executable instructions;

a processor configured to interface with the memory, wherein the processor is configured to execute the non-transitory computer executable instructions to cause the processor to;

aggregate geolocation data and auxiliary data associated with a user'"'"'s driving activities;

identify a plurality of driving routes from the user'"'"'s driving activities that have common geolocation data points based upon a geolocation threshold;

determine one or more designated driving routes from the identified plurality of driving routes based upon an auxiliary threshold, the one or more designated driving routes indicating frequently traversed driving routes of the user; and

generate a user neighborhood map that includes the one or more designated driving routes; and

transmit a visual representation of or an electronic message detailing the user neighborhood map to a mobile device of the user for display.

9. The server of claim 8, wherein the one or more designated driving routes comprise at least one of a single driving route or a plurality of driving sub-routes that comprise a single driving route.

10. The server of claim 8, wherein generating the user neighborhood map comprises utilizing one or more edges of a reference map that match the geolocation data associated with the one or more designated driving routes activities.

11. The server of claim 10, wherein generating the user neighborhood map further comprises populating the user neighborhood map with at least one of the auxiliary data associated with the one or more designated driving routes, wherein the auxiliary data comprise data pertinent to the user including one or more of:

a time stamp, speed information, acceleration information, travel frequency information, braking information, or driving score information of the user.

12. The server of claim 10, wherein generating the user neighborhood map further comprises populating the user neighborhood map with at least one of the auxiliary data associated with the one or more designated driving routes, wherein the auxiliary data comprise data pertinent to at least one driver different from the user including one or more of:

a time stamp, speed information, acceleration information, travel frequency information, braking information, or driving score information of the at least one driver different from the user.

13. The server of claim 8, wherein the processor is further configured to execute the non-transitory computer executable instructions to cause the processor to:

store the aggregated geolocation data and auxiliary data associated with the user'"'"'s driving activities into a searchable activity table; and

wherein identifying the plurality of driving routes comprises searching the activity table to identify the plurality of driving routes from the user'"'"'s driving activities that have the common geolocation data points.

14. The server of claim 8, wherein the auxiliary threshold is representative of a travel frequency.

15. A non-transitory computer readable medium containing a set of computer readable instructions for generating neighborhood maps, that when executed by a processor, configure the processor to:

aggregate geolocation data and auxiliary data associated with a user'"'"'s driving activities;

identify a plurality of driving routes from the user'"'"'s driving activities that have common geolocation data points based upon a geolocation threshold;

determine one or more designated driving routes from the identified plurality of driving routes based upon an auxiliary threshold, the one or more designated driving routes indicating frequently traversed driving routes of the user; and

generate a user neighborhood map that includes the one or more designated driving routes.

16. The non-transitory computer readable medium of claim 15, wherein the one or more designated driving routes comprise at least one of a single driving route or a plurality of driving sub-routes that comprise a single driving route.

17. The non-transitory computer readable medium of claim 15, wherein generating the user neighborhood map comprises utilizing one or more edges of a reference map that match the geolocation data associated with the one or more designated driving routes.

18. The non-transitory computer readable medium of claim 17, wherein generating the user neighborhood map further comprises populating the user neighborhood map with at least one of the auxiliary data associated with the one or more designated driving routes, wherein the auxiliary data comprise data pertinent to the user including one or more of:

a time stamp, speed information, acceleration information, travel frequency information, braking information, or driving score information of the user.

19. The non-transitory computer readable medium of claim 17, wherein generating the user neighborhood map further comprises populating the user neighborhood map with at least one of the auxiliary data associated with the one or more designated driving routes, wherein the auxiliary data comprise data pertinent to at least one driver different from the user including one or more of:

a time stamp, speed information, acceleration information, travel frequency information, braking information, or driving score information of the at least one driver different from the user.

20. The non-transitory computer readable medium of claim 15, wherein the computer readable instructions, that when executed by the processor, further configure the processor to:

store the aggregated geolocation data and auxiliary data associated with the user'"'"'s driving activities into a searchable activity table; and

wherein identifying the plurality of driving routes comprises searching the activity table to identify the plurality of driving routes from the user'"'"'s driving activities that have the common geolocation data points.