Architecture Technology Corporation

Douglas Sweet

Paul C Davis

Eric R Chartier

Ian J McLinden

Ryan L Hagelstrom

Sebastian Timar

William Colligan

Andrew Murphy

Erin Gambucci

Matthew A Stillerman

Richard Chandler

Gregory Carr

Evan Eaves

A method for use of airport runway capacity includes receiving, at an air traffic control system at an airport, airport data related to movement areas of the airport, time data related to a time period, aircraft data related to a plurality of aircraft expected to operate into and out of the airport during the time period, and environmental data related to environmental conditions predicted for the airport during the time period. The method further includes computing a probability distribution for inter-aircraft spacing by applying the airport data, the time data, the aircraft data, and the environmental data to a trained Bayesian network, producing the probability distribution for the inter-aircraft spacing as an output observation of the trained Bayesian network, and, using the probability distribution and a confidence value, identifying an inter-aircraft spacing value for the plurality of aircraft expected to operate into and out of the airport during the time period.

Optimizing aircraft flows at airports using data driven predicted capabilities

An automatic, autonomous predictive aircraft surface state event track (ASSET) system, includes a mobile device onboard an aircraft and a remote service in communication with the mobile device. The mobile device includes a processor, and an application that in turn includes machine instructions encoded on a non-transitory computer-readable storage medium. The processor executes the machine instructions to receive sensor data from aircraft onboard sensors, the sensor data indicating an operational state of the aircraft; and transmit the sensor data. The remote service receives the sensor data and includes a remote processor that executes machine instructions to compute an operational state of the aircraft; identify an aircraft event associated the aircraft; and using the aircraft operational data, the sensor data, and the event, predict that the aircraft will meet a next scheduled aircraft event within a specified time window.

Autonomous and automatic, predictive aircraft surface state event track system and corresponding methods

A method for minimizing aircraft collisions, includes detecting a flight of an unmanned aerial system (UAS) in a restricted area and determining a location of a radio frequency (RF) emitter in communication with the UAS. The method includes, at each of a plurality of RF sensors of a network of wireless RF sensors, receiving RF emissions within an RF band pertaining to UAS control, processing the received RF emissions, and transmitting data derived from the processed RF emissions. The method further includes at a designated one of the plurality of RF sensors, receiving the transmitted data from the RF sensors, a processor computing, using the transmitted data received from the RF sensors, a location estimate for the RF emitter and to predict the UAS is flying, and based on the prediction, the processor generating an alert.

Mobile emergency perimeter system and method

A real-time recommendation system includes a non-transitory, computer-readable storage medium having encoded thereon instructions that a processor executes to receive data from data sources that includes one or more data records. The processor then identifies features in data of a data record, extracts and buffers the features, and applies the features to a feature detect mechanism. The feature detect mechanism includes feature detect algorithm and more recommender algorithms that are encapsulated in a feature detection object. The feature detection object may be a Strategy/Composite feature detection object that includes Strategy design patterns. The processor further executes to reject a feature in response to failures of the feature to match at least one of the Strategy design patterns, and in real time, select and install features that match one or more of the Strategy design patterns into one or more recommender algorithms.

Systems and methods for generating real-time recommendations

A software migration system includes a processor; a user interface that receives and displays components of a legacy software and a new software system; and a migration program as machine instructions stored on a non-transitory, computer-readable storage medium. The processor executes to identify reference models, standards, and requirements of a system common architecture that together define a process for migrating the legacy software to the new software system; load the legacy software onto a virtual machine instantiated on a dedicated hardware platform; refactor the legacy software; subdivide the refactored legacy software into legacy software subsets; move a first legacy software subset to a second virtual machine instantiated on the hardware platform; for a second legacy software subset, adapt the second legacy software subset to the system common architecture; and combine the adapted second legacy software subset and the first legacy software subset to produce the new software system.

System and method for migrating legacy software to a system common architecture

A method, executed by a processor, includes the processor receiving signals information from a device located on a departing airplane; verifying an identification of the airplane and identifying an expected departure sequence of aircraft surface states; monitoring and identifying additional signals information received from the mobile device, including comparing the additional signals information to known data; logging the additional signals information, and processing the additional signals information, and determining the logged data corresponds to events indicative of an aircraft surface state; sending an aircraft surface state reached message to Local and Center flight management; and executing a statistical routine and providing statistical data from the execution relating to an occurrence of upcoming aircraft surface state event and sending the statistical data with the aircraft surface state message.

Aircraft surface state event track system and method

A terminal area noise management method includes receiving, at a processor, aircraft information for an aircraft operating in a region in proximity to an airport; accessing a plurality of terminal area flight paths available to the aircraft; estimating a plurality of noise profiles for the aircraft, one estimated noise profile for the aircraft for each of the plurality of flight paths; calculating a plurality of cumulative noise fairness measures using each estimated noise profile; calculating a plurality of operational efficiency values for the aircraft, one or more of the calculated operational efficiency values for the aircraft for each of the flight paths; calculating a plurality of cumulative operational fairness measures using each of the calculated operational efficiency values; and selecting a flight path for the aircraft based on maximizing a cumulative noise fairness measure and a cumulative operational fairness measure.

Terminal area noise management system and method

Systems, devices, methods, and techniques are described for automated air traffic management using multiple flight operation modes. In one example, a method includes receiving, by a computing device comprising one or more processors, data associated with one or more aircraft in flight in a controlled airspace. The method further includes selecting, by the computing device, based at least in part on the data associated with the one or more aircraft, a respective flight operation mode from among a plurality of flight operation modes for at least one respective aircraft among the one or more aircraft in flight. The method further includes outputting, by the computing device for transmission to the at least one respective aircraft, an indication of the respective flight operation mode selected for the at least one respective aircraft.

Integrated multi-mode automation for air traffic control

A computer-implemented method for establishing and controlling a mobile perimeter and for determining a geographic location of an RF emitting source at or within the mobile perimeter includes receiving from RF sensors in a network, processed RF emissions from the source collected at RF sensors. The RF emissions follow a wireless protocol and include frames encoding RF emitting source identification information. The method further includes extracting RF emitting source identification information from the frames, processing the source identification information to identify the RF emitting source, and classifying the RF emitting source by one or more of UAS type, UAS capabilities, and UAS model. The method also includes receiving from the RF sensors, a geographic location of each RF sensor and a time of arrival (TOA) of the RF emissions at the RF sensor; and executing a multilateration process to estimate a geographic location of the RF emitting source.

Systems and methods for identifying, classifying, locating, and tracking radio-frequency emitting objects in a temporary flight restriction area

A method for safe and efficient use of airport runway capacity includes receiving, at an air traffic control system at an airport, airport data related to movement areas of the airport, time data related to a time period, aircraft data related to a plurality of aircraft expected to operate into and out of the airport during the time period, and environmental data related to environmental conditions predicted for the airport during the time period. The method further includes computing a probability distribution for inter-aircraft spacing by applying the airport data, the time data, the aircraft data, and the environmental data to a trained Bayesian network, producing the probability distribution for the inter-aircraft spacing as an output observation of the trained Bayesian network, and, using the probability distribution and a confidence value, identifying an inter-aircraft spacing value for the plurality of aircraft expected to operate into and out of the airport during the time period.

A computer-implemented method for migrating a monolithic legacy software system to a well-defined modular target software architecture includes selecting a method, based on predefined patterns, for transforming the software legacy software system; creating an abstract syntax tree from the legacy software system's source code; from the abstract syntax tree, determining a flow of the source code and any coding violations and coding smells in the legacy software system's source code; using the flow and the coding violations, identifying architecture issues in the legacy software system; scheduling tasks for transforming the legacy software system into the target software architecture; automatically generating new source code according to the target software architecture; and automatically and autonomously refactoring the new source code.

A method for minimizing aircraft collisions, comprising includes detecting a flight of an unmanned aerial system (UAS) in a restricted area and determining a location of a radio frequency (RF) emitter in communication with the UAS. The method includes, at each of a plurality of RF sensors of a network of wireless RF sensors, receiving RF emissions within an RF band pertaining to UAS control, processing the received RF emissions, and transmitting data derived from the processed RF emissions. The method further includes at a designated one of the plurality of RF sensors, receiving the transmitted data from the RF sensors, a processor computing, using the transmitted data received from the RF sensors, a location estimate for the RF emitter and to predict the UAS is flying, and based on the prediction, the processor generating an aircraft collision alert.

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Sunnyvale, CA, United States of America

Douglas Sweet