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公开(公告)号:US20250124381A1
公开(公告)日:2025-04-17
申请号:US18799004
申请日:2024-08-09
Applicant: THE BOEING COMPANY
IPC: G06Q10/0633 , G06Q50/40
Abstract: A device includes one or more processors configured to obtain, from one or more sources of global data associated with aircraft traffic, historical data corresponding to historical usage metrics for a particular airport. The one or more processors are configured to process the historical usage metrics to generate a distribution model associated with usage of the particular airport. The one or more processors are configured to obtain, from the one or more sources of global data, data corresponding to current usage metrics for the particular airport. The one or more processors are also configured to determine, based on the distribution model and the current usage metrics for the particular airport, an airport congestion level for the particular airport.
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公开(公告)号:US20230368677A1
公开(公告)日:2023-11-16
申请号:US18309954
申请日:2023-05-01
Applicant: THE BOEING COMPANY
Inventor: Marco La Civita , Pablo Costas Alvarez , Enrique Casado
CPC classification number: G08G5/0021 , G07C5/008 , G08G5/0008
Abstract: Vehicle trajectory tracking using mobile devices includes receiving, from a vehicle in transit, over a time period associated with a portion of the transit, sensor data values from a plurality of mobile electronic devices aboard the vehicle. Vehicle trajectory tracking also includes generating vehicle state variables based at least on the sensor data values and applying statistical processing to the vehicle state variables to generate vehicle trajectory data.
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公开(公告)号:US12057020B2
公开(公告)日:2024-08-06
申请号:US17399816
申请日:2021-08-11
Applicant: THE BOEING COMPANY
Inventor: Javier Lopez Leones , Nicolas Pena Ortiz , Pablo Costas Alvarez , Pedro Cesar Alvarez Esteban , Raul Andres Torres Diaz , Alejandro Guemes
CPC classification number: G08G5/0021 , G06N5/04 , G06N20/00 , G06Q10/1093 , G06Q50/30 , G08G5/003
Abstract: A method of flight data prediction for an aircraft includes receiving, at a device, arrival input data for a flight of the aircraft to an arrival airport. The arrival input data includes flight plans for a plurality of aircraft expected to arrive at or depart from the arrival airport during an arrival time range, predicted weather information for the arrival airport during the arrival time range, and facilities data for the arrival airport. The method includes generating, at the device based on the arrival input data, one or more arrival sets for the aircraft. Each arrival set comprising a predicted gate arrival time for the aircraft at an arrival gate using a particular runway and a probability associated with the aircraft using the particular runway. The method also includes generating, at the device, an output based on at least one of the one or more arrival sets.
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公开(公告)号:US20230401964A1
公开(公告)日:2023-12-14
申请号:US17836128
申请日:2022-06-09
Applicant: THE BOEING COMPANY
Inventor: Romani de Oliveira Ítalo , Euclides Carlos Pinto Neto , Stephen Solomon Altus , Rosa Maria Rodriguez , Pablo Costas Alvarez
CPC classification number: G08G5/0034 , G08G5/0008 , G05D1/101
Abstract: A flight planning system and method include one or more control units configured to determine, from ensemble data, a plurality of flight plans for an aircraft from a departure location to an arrival location. The ensemble data includes an aggregation of data from multiple data sources. In at least one example, the one or more control units are further configured to determine a preferred flight plan from the plurality of flight plans.
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公开(公告)号:US20250095501A1
公开(公告)日:2025-03-20
申请号:US18779500
申请日:2024-07-22
Applicant: THE BOEING COMPANY
Inventor: Alejandro Guemes Jimenez , Pablo Costas Alvarez , Javier Lopez Leones , Andres Munoz Hernandez , Elisa Morales Tirado
IPC: G08G5/00 , G06Q10/0639
Abstract: Systems and methods for flight plan validation and automated route improvement include obtaining flight plan data descriptive of a first plurality of planned flights; obtaining route data describing one or more preconfigured routes; selecting, for each of the first plurality of planned flights, a set of viable routes from the route data; obtaining validation data associated with each viable route for each planned flight of the first plurality of planned flights; based on a determination that no route of the set of viable routes is valid, communicating a request to a route identification service; receiving validated route data describing one or more validated routes associated with the planned flight; and generating a visual indication of a set of confirmed routes for the planned flight.
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公开(公告)号:US20230351901A1
公开(公告)日:2023-11-02
申请号:US18301457
申请日:2023-04-17
Applicant: THE BOEING COMPANY
Inventor: Pablo Costas Alvarez , Javier Lopez Leones , Nicolas Pena Ortiz , Alejandro Guemes Jimenez
IPC: G08G5/00
CPC classification number: G08G5/0039 , G08G5/0073 , G08G5/0013
Abstract: A device includes one or more processors configured to receive an indication that a geographical area is expected to be regulated during a particular time window. The one or more processors are also configured to perform a comparison of the geographical area to route segments of a filed flight plan of a flight of an aircraft. The one or more processors are further configured to, based on determining that a route segment of the filed flight plan traverses at least a portion of the geographical area during the particular time window, determine alternate flight plans that do not traverse the geographical area during the particular time window. The one or more processors are also configured to select one of the alternate flight plans that satisfies a selection criterion as an updated flight plan of the flight, and to send the updated flight plan to a second device.
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公开(公告)号:US11651697B2
公开(公告)日:2023-05-16
申请号:US17212664
申请日:2021-03-25
Applicant: The Boeing Company
Inventor: Samet Ayhan , Glaucia Costa Balvedi , Pablo Costas Alvarez , Ian Andrew Byham Wilson , Alexandre C. Leite , Italo Romani De Oliveira
CPC classification number: G08G5/0039 , G05D1/101 , G08G5/0034 , G08G5/0047
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to improve aircraft traffic control. An example apparatus includes a network interface to obtain air route traffic (ART) data associated with aircraft flying in airspace sectors during a first time period, a database controller to generate a first database entry by mapping extracted portions of the ART data to a first database entry field of the first database entry, and ART sector services to execute machine learning (ML) models using database entries to generate first aircraft traffic counts of the airspace sectors during the first time period, in response to selecting a first ML model of the ML models based on the first aircraft traffic counts, execute the first ML model to generate second aircraft traffic counts during a second time period, and transmit the second aircraft traffic counts to a computing device to cause an aircraft flight plan adjustment.
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公开(公告)号:US20240212511A1
公开(公告)日:2024-06-27
申请号:US18145229
申请日:2022-12-22
Applicant: THE BOEING COMPANY
Inventor: Romani de Oliveira Ítalo , Euclides Carlos Pinto Neto , Stephen Solomon Altus , Rosa Maria Rodriguez , Pablo Costas Alvarez , Manuel Polaina Morales
IPC: G08G5/00
CPC classification number: G08G5/0039 , G08G5/0021 , G08G5/0091
Abstract: A system and a method include a flight plan generating control unit configured to receive a flight plan request for an aircraft from a user interface, determine if the flight plan request matches a flight plan within a flight plan database, in response to the flight plan request matching the flight plan within the flight plan database, submit the flight plan to a validation sub-system, and in response to the flight plan request not matching the flight plan within the flight plan database, determine a new flight plan.
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公开(公告)号:US20240119847A1
公开(公告)日:2024-04-11
申请号:US18465436
申请日:2023-09-12
Applicant: THE BOEING COMPANY
Inventor: Pablo Costas Alvarez , Milind Vasudeo Naik
CPC classification number: G08G5/0047 , G06F16/258
Abstract: An automated environment for aeronautical information services includes converting a first data set from a first data structure to a common data structure, automatically creating a common database based at least on the common data structure, converting a second data set from a second data structure to the common data structure, analyzing a difference between the first converted data set and the second converted data set to determine a relevance metric, and, if the relevance metric meets a relevance threshold, storing at least a portion of the second converted data set at a filtered database, the filtered database separate from the common database, wherein the portion is associated with the difference.
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公开(公告)号:US20230222926A1
公开(公告)日:2023-07-13
申请号:US17573254
申请日:2022-01-11
Applicant: The Boeing Company
Inventor: Samet M. Ayhan , Italo Romani de Oliveira , Euclides Carlos Pinto Neto , Pablo Costas Alvarez , Michael Biglin
CPC classification number: G08G5/0039 , G06N20/00
Abstract: A method is provided for predicting a reroute for a planned flight of an aircraft. The method includes building a machine learning model to predict a reroute on a future date of a planned flight of an aircraft. The machine learning model is built in a batch process that includes accessing reroute data and weather data, and performing a data wrangling of the reroute data and the weather data to produce a collection of data keyed by date. Candidate machine learning models are built using a training set produced from the collection of data. The candidate machine learning models are evaluated, and the machine learning model is selected from the candidate machine learning models based on the evaluation. And the machine learning model is output for deployment to classify the future date as having a reroute advisory issued, and predict a reroute on the future date.
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