Aircraft parking stand assignment prediction

US2021125512A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2021125512-A1
Application numberUS-202017010147-A
CountryUS
Kind codeA1
Filing dateSep 2, 2020
Priority dateOct 28, 2019
Publication dateApr 29, 2021
Grant date

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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.

A parking stand prediction system uses statistical analysis and historical data to provide an available parking stand for an aircraft at an arrival airport. The system receives real-time surveillance data relating to airlines, on-air flights, and airline and airport ground services. The surveillance data is sorted or pre-filtered according to airport. The system also receives airport map or layout data. Parking stand identification logic is applied to the surveillance data, airport map data, and historical surveillance data. Portions of this data are stored in a parking stand database which is continuously updated with current surveillance and parking stand availability data. A user inputs parking stand search parameter data into the system and receives a parking stand prediction for the aircraft of interest at an arrival airport.

First claim

Opening claim text (preview).

What is claimed is: 1 . A method, comprising: in response to receiving surveillance data relating to airline ground services, sorting, by a system comprising a processor, the surveillance data based on airport location data; applying parking stand identification logic to the surveillance data and airport map data to update a parking stand data store; receiving a parking stand search parameter input associated with an aircraft; and based on analysis of information in the parking stand data store, predicting one or more parking stands available for parking the aircraft at a destination airport. 2 . The method of claim 1 , wherein the parking stand data store comprises at least one record, comprising a parking stand prediction field. 3 . The method of claim 1 , wherein the parking stand search parameter input comprises an input data indicative of at least one of the destination airport, an airline, or an aircraft type. 4 . The method of claim 1 , further comprising identifying a parking stand apron. 5 . The method of claim 1 , wherein the predicting the one or more parking stands for parking the aircraft is performed between receiving the parking stand search parameter input and arriving of the aircraft at the destination airport. 6 . The method of claim 1 , further comprising creating the parking stand data store for the destination airport. 7 . The method of claim 1 , further comprising: determining a first group of parking stands of the one or more parking stands for parking the aircraft at the destination airport; predicting a second group of parking stands of the one or more parking stands for parking the aircraft at the destination airport; and facilitating a display of the first group of parking stands and the second group of parking stands, wherein the first group of parking stands is distinguishable from the second group of parking stands. 8 . The method of claim 7 , wherein the first group of parking stands has a first probability of being available when the aircraft arrived at the destination airport, wherein the second group of parking stands has a second probability of being available when the aircraft arrived at the destination airport, and wherein the first probability is greater than the second probability. 9 . The method of claim 1 , further comprising decoding the surveillance data. 10 . The method of claim 1 , wherein the applying the parking stand identification logic further comprises: evaluating speed of the aircraft on a way to the destination airport; and designating the aircraft as parked in one of the one or more parking stands at the destination airport. 11 . A parking stand prediction system, comprising: one or more processors; and a memory that stores executable instructions that, when executed by the one or more processors, facilitate performance of operations, comprising: sorting surveillance data based on airport layout data; applying parking stand identification logic to the surveillance data and the airport layout data; and predicting one or more parking stands available for parking an aircraft at an airport. 12 . The parking stand prediction system of claim 11 , wherein the operations further comprise decoding the surveillance data. 13 . The parking stand prediction system of claim 11 , wherein the memory comprises a parking stand data store, comprising a parking stand prediction field. 14 . The parking stand prediction system of claim 11 , wherein the operations further comprise facilitating a display of the one or more parking stands available for parking the aircraft at the airport. 15 . The parking stand prediction system of claim 11 , wherein the operations further comprise receiving and storing airport layout data, wherein the one or more parking stands available for parking the aircraft at the airport is predicted based at least in part on the airport layout data. 16 . A non-transitory computer-readable storage medium comprising executable instructions that, in response to execution, cause a system comprising a processor to perform operations, comprising: sorting surveillance data based on airport layout data; applying parking stand identification logic to the surveillance data and the airport layout data; and predicting one or more parking stands available for parking an aircraft at an airport. 17 . The non-transitory computer-readable storage medium of claim 16 , wherein the surveillance data comprises information associated with in-flight and ground service activity. 18 . The non-transitory computer-readable storage medium of claim 16 , wherein the operations further comprise facilitating a presentation of the one or more parking stands available for parking the aircraft at the airport. 19 . The non-transitory computer-readable storage medium of claim 16 , wherein the operations further comprise receiving and storing airport layout data, wherein the one or more parking stands available for parking the aircraft at the airport is predicted based at least in part on the airport layout data. 20 . The non-transitory computer-readable storage medium of claim 16 , wherein the operations further comprise populating a parking stand data store for the airport.

Assignees

Inventors

Classifications

  • from a ground station · CPC title

  • G08G5/51Primary

    for control when on the ground, e.g. taxiing or rolling · CPC title

  • Surveillance or monitoring of activities, e.g. for recognising suspicious objects (recognising microscopic objects G06V20/69) · CPC title

  • Schedule adjustment for a person or group · CPC title

  • G06Q10/02Primary

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

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Frequently asked questions

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What does patent US2021125512A1 cover?
A parking stand prediction system uses statistical analysis and historical data to provide an available parking stand for an aircraft at an arrival airport. The system receives real-time surveillance data relating to airlines, on-air flights, and airline and airport ground services. The surveillance data is sorted or pre-filtered according to airport. The system also receives airport map or lay…
Who is the assignee on this patent?
Boeing Co
What technology area does this patent fall under?
Primary CPC classification G08G5/51. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Apr 29 2021 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).