System for advising consumers on optimal pedestrian routes based on transaction history

US11966864B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11966864-B2
Application numberUS-202318159351-A
CountryUS
Kind codeB2
Filing dateJan 25, 2023
Priority dateMay 5, 2020
Publication dateApr 23, 2024
Grant dateApr 23, 2024

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Aspects described herein may provide determination of a pedestrian route for a user to reach a seating area inside of a venue. Financial transaction data of the user may be reviewed to determine the user purchased one or more tickets to an event at the venue. Information regarding the event or the venue may be determined including seating charts for the venue and whether the tickets are for assigned or unassigned seats. Crowd densities inside and outside of the venue may be determined. The pedestrian route may be determined based on the crowd densities, number of tickets, and type of seating. The route may be updated as conditions change including any change to the crowd densities or change to seating availability. The route may increase a likelihood that the user reaches the seating area prior to a start of the event, and in a less stressful manner.

First claim

Opening claim text (preview).

What is claimed is: 1. A method comprising: determining, by a computing device, event information associated with an event; determining, by the computing device and based on the event information, an initial location of a purchaser; receiving, by the computing device and from a plurality of devices within a predetermined physical proximity of a venue of the event on a date of the event, location data associated with, and generated by, the plurality of devices within the predetermined physical proximity of the venue on the date of the event; determining, by the computing device and based on the location data, a first density of a first crowd outside of the venue; receiving, by the computing device and from one or more sensors inside the venue, crowd data generated by the one or more sensors and associated with a second crowd inside the venue; determining, by the computing device and based on the crowd data, a second density of a second crowd inside the venue; determining, by the computing device, based on the first density of the first crowd, and based on the second density of the second crowd, a pedestrian route for the purchaser from the initial location to a final location inside the venue; and causing, by the computing device, the pedestrian route to be presented by a device associated with the purchaser. 2. The method of claim 1 , wherein determining the event information comprises: determining, based on financial transaction data associated with a financial account provided by a financial institution, a number of tickets purchased by the purchaser for the event. 3. The method of claim 1 , wherein determining the event information comprises: determining the event information based on a database storing a plurality of event information for a plurality of corresponding events. 4. The method of claim 1 , wherein determining the event information comprises: determining the event information based on a billing address associated with the purchaser or a transactional code associated with a number of tickets purchased by the purchaser for the event. 5. The method of claim 1 , wherein determining the event information comprises determining the event information based on at least one of: the purchaser providing the event information, or accessing information stored on the device associated with the purchaser. 6. The method of claim 1 , wherein the sensors inside the venue comprise one or more: video capture devices; or motion sensors. 7. The method of claim 1 , further comprising: monitoring, by the computing device, locations of electronic devices associated with the first crowd. 8. The method of claim 1 , wherein the event information comprises at least one of: a date of the event; a time of the event; a venue for the event; a number of tickets purchased by the purchaser for the event; or a number of unassigned seats for the event corresponding to the number of tickets purchased by the purchaser for the event. 9. The method of claim 1 , wherein determining the pedestrian route comprises determining at least one of: an entrance of the venue to enter, or a street from which to approach the venue. 10. The method of claim 1 , wherein causing the pedestrian route to be presented by the device associated with the purchaser comprises causing the pedestrian route to be displayed. 11. The method of claim 1 , further comprising determining the final location based on a seating map of the venue. 12. The method of claim 1 , further comprising determining pedestrian traffic patterns associated with the venue for one or more past events. 13. The method of claim 12 , further comprising: monitoring a total number of tickets purchased for the event, wherein determining the pedestrian route is based on the pedestrian traffic patterns associated with the venue for the one or more past events and the total number of tickets purchased for the event. 14. The method of claim 1 , further comprising: updating the first density of the first crowd, updating the second density of the second crowd; and updating the pedestrian route based on the updated first density and the updated second density. 15. An apparatus comprising: one or more processors; and memory storing instructions that, when executed by the one or more processors, cause the apparatus to: determine event information associated with an event; determine, based on the event information, an initial location of a purchaser; receive, from devices within a predetermined proximity of a venue of the event on a date of the event, location data associated with, and generated by, the devices within the predetermined physical proximity of the venue on the date of the event; determine, based on the location data, a first density of a first crowd outside of the venue; receive, from sensors inside the venue, crowd data generated by the sensors and associated with a second crowd inside the venue; determine, based on the crowd data, a second density of the second crowd inside the venue; determine, based on the first density of the first crowd, and based on the second density of the second crowd, a pedestrian route for the purchaser from the initial location to a final location inside the venue; and cause the pedestrian route to be displayed on a device associated with the purchaser. 16. The apparatus of claim 15 , wherein the instructions, when executed by the one or more processors, cause the apparatus to: update the first density of the first crowd; update the second density of the second crowd; and update the pedestrian route based on the updated first density of the first crowd and the updated second density of the second crowd. 17. The apparatus of claim 15 , wherein the instructions, when executed by the one or more processors, cause the apparatus to: determine the second density of the second crowd further based on location data generated by electronic devices associated with the second crowd. 18. One or more non-transitory media storing instructions that, when executed by one or more processors, cause the one or more processors to perform steps comprising: determining event information associated with an event; determining, based on the event information, an initial location of a purchaser; receiving, from devices within a predetermined proximity of a venue of the event on a date of the event, location data associated with, and generated by, the devices within the predetermined physical proximity of the venue on the date of the event; determining, based on the location data, a first density of a first crowd outside of the venue; receiving, from sensors inside the venue, crowd data generated by the sensors and associated with a second crowd inside the venue; determining, based on the crowd data, a second density of the second crowd of attendees inside the venue; determining, based on the first density of the first crowd, and based on the second density of the second crowd, a pedestrian route for the purchaser from the initial location to a final location inside the venue; and causing the pedestrian route to be displayed on a device associated with the purchaser. 19. The one or more non-transitory media of claim 18 , wherein the instructions, when executed by one or more processors, further cause the one or more processors to perform steps comprising: updating the first density of the first crowd; updating the second density of the second crowd; and updating the pedestrian route based on the updated first density of the first crowd and the upda

Assignees

Inventors

Classifications

  • Calendar-based scheduling for persons or groups · CPC title

  • for arena or stadium seating · CPC title

  • for seating or spaces in a venue · CPC title

  • G06Q10/02Primary

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

  • specially adapted for indoor navigation · CPC title

Patent family

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Frequently asked questions

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What does patent US11966864B2 cover?
Aspects described herein may provide determination of a pedestrian route for a user to reach a seating area inside of a venue. Financial transaction data of the user may be reviewed to determine the user purchased one or more tickets to an event at the venue. Information regarding the event or the venue may be determined including seating charts for the venue and whether the tickets are for ass…
Who is the assignee on this patent?
Capital One Services Llc, Captial One Services Llc
What technology area does this patent fall under?
Primary CPC classification G06Q10/1093. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 23 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).