Systems and methods of monitoring and analyzing multimodal transportation usage

Patent metadata

Field	Value
Publication number	US-12013246-B2
Application number	US-202017095067-A
Country	US
Kind code	B2
Filing date	Nov 11, 2020
Priority date	Jan 24, 2018
Publication date	Jun 18, 2024
Grant date	Jun 18, 2024

Abstract

Systems and methods relating to usage of multimodal transportation systems are disclosed. Such systems and methods may identify available local transportation modes for a user, such as vehicle-sharing, ridesharing, rental vehicles, taxicabs, owned vehicles, or public transit options. The available transportation modes may be compared, and recommendations may be presented to the user. Routes may be identified, compared, or recommended to a user, and scheduling or ticket purchasing may be facilitated. With user permission, user transportation data may be collected via a smartphone to identify user transportation patterns and preferences, thereby improving recommendations regarding and assessment of user transportation. Information regarding risks or other relevant factors associated with various transportation modes may be assessed for a user based upon typical characteristics of user transportation choices over a plurality of transportation scenarios, which may be indicated by a user transportation profile.

First claim

What is claimed is:

1. A computer implemented method of monitoring multimodal transportation usage of a user, the method comprising:
collecting, by one or more processors, geolocation data comprising a plurality of user locations and corresponding times associated with a user trip of the user;
identifying, by the one or more processors, an area associated with the user trip based upon the geolocation data;
receiving, by the one or more processors, transit route data associated with one or more transit route segments in the area, the transit route data including transit stopping points;
determining, by the one or more processors and based upon the geolocation data, a plurality of locations at which the user stopped for at least a threshold time; and
determining, by the one or more processors and based upon comparing the transit stopping points with the plurality of locations,
a user route taken by the user, wherein the user route comprises at least one of the one or more transit route segments.

2. The computer implemented method of claim 1 , further comprising:
determining, by the one or more processors, a speed at which the user moves based upon the geolocation data; and
identifying, by the one or more processors, the at least one of the one or more transit route segments in the user route based upon the speed at which the user moves.

3. The computer implemented method of claim 1 , wherein: the one or more transit route segments include a plurality of road segments, and
determining the user route further comprises identifying at least one of the plurality of road segments as a part of the user route by comparing the geolocation data with locations associated with the plurality of road segments.

4. The computer implemented method of claim 1 , the method further comprising:
receiving, by the one or more processors, user purchase history data indicating one or more electronic transactions of the user associated with transportation,
wherein determining the user route is further based in part upon the one or more electronic transactions.

5. The computer implemented method of claim 4 , wherein receiving user purchase history comprises accessing purchase transactions associated with a transportation account or payment source linked to the user.

6. The computer implemented method of claim 1 , the method further comprising:
determining, by the one or more processors, a transportation risk associated with the user route based at least in part upon risks associated with a transit mode, the transit mode being associated with the at least one of the one or more transit route segments in the user route.

7. The computer implemented method of claim 6 , wherein determining the transportation risk comprises accessing environmental data to determine environmental conditions associated with the user route during the corresponding times associated with the user trip.

8. The computer implemented method of claim 1 , the method further comprising:
generating, by the one or more processors, a user transportation profile based upon user trip data, the user trip data comprising data associated with the user route and data associated with a plurality of additional user routes associated with additional user trips of the user, wherein
the user transportation profile includes typical characteristics associated with user trips of the user, wherein the typical characteristics include at least one of typical times, typical locations, and typical transportation modes; and
determining, by one or more processors, a user transportation risk associated with the user based upon the user transportation profile.

9. The computer implemented method of claim 8 , the method further comprising:
receiving, by the one or more processors, user profile data including information regarding assets of the user or insurance coverage levels associated with the user; and
generating, by the one or more processors, a multimodal transportation insurance policy for the user based upon the user transportation profile and the user profile data.

10. A computer system for monitoring multimodal transportation usage of a user, the system comprising:
one or more processors; and
a program memory coupled to the one or more processors and storing executable instructions that, when execute by the one or more processors, cause the computer system to:
collect geolocation data comprising a plurality of user locations and corresponding times associated with a user trip of the user;
identify an area associated with the user trip based upon the geolocation data;
receive transit route data associated with one or more transit route segments in the area, the transit route data including transit stopping points;
determine, based upon the geolocation data, a plurality of locations at which the user stopped for at least a threshold time; and
determine, based upon comparing the transit stopping points with the plurality of locations,
a user route taken by the user, wherein the user route comprises at least one of the one or more transit route segments.

11. The computer system of claim 10 , wherein the executable instructions further cause the computer system to:
receive user purchase history data indicating one or more electronic transactions of the user associated with transportation, wherein
determining the user route is based in part upon the one or more electronic transactions.

12. The computer system of claim 10 , wherein the executable instructions further cause the computer system to:
determine a transportation risk associated with the user route based at least in part upon risks associated with a transit mode associated with the at least one of the one or more transit route segments in the user route.

13. The computer system of claim 10 , wherein the executable instructions further cause the computer system to:
generate a user transportation profile based upon user trip data, the user trip data comprising data associated with the user route and data associated with a plurality of additional user routes associated with additional user trips, wherein
the user transportation profile includes typical characteristics associated with user trips of the user, wherein the typical characteristics include at least one of typical times, typical locations, and typical transportation modes; and
determine a user transportation risk based upon the user transportation profile.

14. The computer system of claim 13 , wherein the executable instructions further cause the computer system to:
receive user profile data including information regarding assets of the user or insurance coverage levels associated with the user; and
generate a multimodal transportation insurance policy for the user based upon the user transportation profile and the user profile data.

15. A tangible non-transitory computer-readable medium storing instructions for monitoring multimodal transportation usage of a user that, when executed by at least one processor of a computer system, causes the computer system to:
collect geolocation data regarding a plurality of user locations and corresponding times associated with a user trip of the user;
identify an area associated with the user trip based upon the geolocation data;
receive transit route data associated with one or more transit route segments in the area, the transit route data including transit stopping points;
determine, based upon the geolocation data, a plurality of locations at which the user stopped for at least a threshold time; and
determine, based upon comparing the transit stopping points with the plurality of locations,

Assignees

• State Farm Mutual Automobile Insurance Co

Inventors

• Cope Craig
• Gaudin Kristopher Keith
• Gross Ryan
• Miles Melissa C
• Shull Jessica Lynn
• Cook Michael K

Classifications

• G06Q50/40

  Business processes related to the transportation industry (shipping G06Q10/083) · CPC title

• G06Q10/02

  Reservations, e.g. for tickets, services or events · CPC title

• G06F40/169

  Annotation, e.g. comment data or footnotes · CPC title

• G06F16/9537

  Spatial or temporal dependent retrieval, e.g. spatiotemporal queries · CPC title

• G01C21/3484

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title