Abstract: Systems, computer-implemented methods, and computer program products to facilitate conditional parallel coordinates in automated artificial intelligence with constraints are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a visualization component that renders a pipeline constraint as a constraint axis having constraint scores of machine learning pipelines in a conditional parallel coordinates visualization. The computer executable components can further comprise a model generation component that generates a machine learning model based on the constraint scores of the machine learning pipelines.

Abstract: A method for planning flight trajectories for at least two aircraft aiming to subsequently approach a predefined reference point, in particular a predefined destination, wherein each aircraft travels along a flight route according to an individual flight trajectory, such that a first aircraft travels along a first flight route according to a first flight trajectory and a second aircraft travels along a second flight route according to a second flight trajectory, wherein at least the second flight trajectory is set or adjusted such that at least one predetermined minimum separation between the two aircraft approaching the predefined destination according to their respective flight trajectories is ensured and the predetermined minimum separation is ensured throughout the whole flight trajectories by setting or adjusting an adjustable trajectory parameter (?) of the first or second flight trajectory.

Abstract: [Object] To provide a control device which enables a flight vehicle device to obtain a highly precise image. [Solution] Provided is the control device including an illuminating control unit configured to adjust a light amount of an illuminating device according to an inclination of a body of a flight vehicle device that has an imaging device configured to photograph a photographing target and the illuminating device configured to illuminate the photographing target.

Abstract: A location processing device includes a selection member configured to select multiple flight vehicles to form a flight group. The location processing device also includes a determination member configured to determine first relative location information of the multiple flight vehicles of the flight group while instructing an operation device configured to control the multiple flight vehicles to perform operations.

Abstract: A ground collision avoidance method in an ownship vehicle is disclosed. The method includes: retrieving position measurements for the ownship vehicle and for a dynamic obstacle; retrieving mapping data from an airport map database that includes coordinate data for airport travel pathways; adjusting a position measurement for the ownship vehicle and a position measurement for the dynamic obstacle based on coordinate data retrieved from the airport map database and historical aircraft movement data; predicting a series of future positions for the ownship vehicle that are constrained by airport surface operation rules; predicting a series of future positions for the dynamic obstacle that are constrained by airport surface operation rules; calculating whether a potential collision is imminent; and causing a collision alert to be displayed when the processor has determined that a potential collision between the ownship vehicle and the dynamic obstacle is imminent.

Abstract: A flight aiding method for an unmanned aerial vehicle includes receiving a receiving, from a mobile terminal that controls the unmanned aerial vehicle, a flight aiding instruction to execute a flight aiding function. The flight aiding method further includes in response to receiving the flight aiding instruction, controlling, regardless of a head direction that a head of the unmanned aerial vehicle is pointing, the unmanned aerial vehicle to fly by controlling both a velocity of the unmanned aerial vehicle along a reference direction and a velocity of the unmanned aerial vehicle perpendicular to the reference direction. The reference direction is defined for the unmanned aerial vehicle based on a position of a point of interest and a current location of the unmanned aerial vehicle.

Abstract: Systems and methods for autonomous taxi route execution for an aircraft. Clearance communication is received from a ground control station. A plurality of objects is generated from the clearance communication. Next, a context data structure representing a planned taxi route is generated. Last, the planned taxi route is executed.

Abstract: Operation history information on every aircraft can be collected, and efficiency in collection of the aircraft operation history information can be improved. The present invention includes: an image acquisition unit 11 configured to acquire an image G obtained by imaging a route R or A2; an image-type model identification unit 21 configured to identify a model of an aircraft P in the route R or A2 based on appearance data of an aircraft Q in the image G acquired by the image acquisition unit 11 and aircraft appearance samples previously prescribed for respective models; and an operation history storage unit 45 configured to store image-derived model information identified by the image-type model identification unit 21.

Abstract: An electric aircraft with flight trajectory planning. The electric aircraft includes a sensor. The sensor is coupled to the electric aircraft. The sensor is configured to detect a plurality of weather measurements. The electric aircraft includes a processor. The processor is communicatively connected to the sensor. The processor is configured to receive, from the sensor, a weather measurement of the plurality of weather measurements. The processor is configured to receive, from a user, a destination datum and a desired altitude datum. The processor is configured to determine an optimal trajectory of the electric aircraft as a function of the destination datum, weather datum, and altitude datum.

Abstract: Methods and systems for modifying a flight plan to implement micro-shortcuts. The system identifies a segment of interest within an initial flight plan, the segment of interest being a section to consider for a micro-shortcut. The system determined a geographical environment associated with the segment of interest and determines a relevant air traffic control (ATC) for the geographical environment. The system requests, from the relevant ATC, an amount of deviation from the initial flight plan for the segment of interest. Upon obtaining permission for the amount of deviation from the initial flight plan for the segment of interest, the system calculates a shortest path (i.e., a micro-shortcut) for the segment of interest. The system modifies the initial flight plan and commands the FMS to fly the shortest path for the segment of interest.

Abstract: A sector situation (SS) evaluation framework is based on knowledge transfer and is specifically applicable for small-training-sample environment. The SS evaluation framework is able to effectively mine knowledge hidden within the samples of both target and non-target sectors, and properly handle the integration between the knowledge derived from different sectors. This framework includes three main steps: (1) sufficiently mine the knowledge within the samples of the target sector using the strategies of multi-factor subset generation and multi-base evaluator construction, and build target base evaluators; (2) precisely learn the knowledge in the samples of the non-target sectors using similar strategies for the target sector, together with a sample transformation, and build non-target base evaluators; and (3) efficiently integrate the target and non-target base evaluators based on evaluation confidence analysis of those base evaluators.

Abstract: A method is provided that includes receiving reflections of a plurality of radar signals from an environment by a radar system. The method also includes determining, by a radar processing system, that two received radar reflections correspond to an object in the environment based on a location of the object, where at least one of the two received radar reflections had a reflection in the environment off of a secondary reflecting object. The method further includes revising a tracking for the object.

Abstract: In an embodiment, a drone-coupled UE determines whether the drone-coupled UE is engaged in a flying state, and transmits a message to a network component of a terrestrial wireless communication subscriber network that indicates a result of the determining. The network component receives the message from the drone-coupled UE. In an embodiment, a network component of a terrestrial wireless communication subscriber network determines whether the drone-coupled UE is engaged in a flying state based on the message from the drone-coupled UE. The network component then applies protocols based on the determining.

Abstract: The disclosure generally relates to systems and method within computer systems for an aircraft particularly focused on lateral path generation opportunities for fuel savings beyond that of renditions calculated by a flight management system. The approach focuses on turn generation that reduces fuel consumption and environmental impacts of excess CO2 emissions.

Abstract: A method of generating an aircraft display includes receiving data at a device. The data includes information associated with a first aircraft and one or more other aircraft in an airspace associated with the first aircraft. The method includes determining, at the device, estimated flightpaths for the first aircraft and the one or more other aircraft. The method includes generating, at the device, a detect and avoid gauge display based on a current flightpath of the first aircraft and the estimated flightpaths. The method also includes sending, from the device to a display device coupled to the device, the detect and avoid gauge for display. The detect and avoid gauge is configured to display a flightpath indicator to indicate a direction of travel of the first aircraft and is configured to display alert bands related to projected separation violations with respect to the one or more other aircraft.

Abstract: A method to reduce aircraft fuel consumption includes determining whether a particular aircraft belongs to a runway queue associated with one or more aircraft waiting to take-off from a runway of an airport based on (i) real-time aircraft geographic location information associated with the particular aircraft and (ii) a graph associated with features of the airport. An amount of time the particular aircraft spends in the runway queue before taking off from the runway can be determined. A runway queue take-off delay associated with the runway queue can be determined based at least in part on the amount of time the particular aircraft spends in the runway queue. The runway queue take-off delay can be communicated to a controller terminal of the airport to facilitate routing a different aircraft to a different runway queue associated with a shorter runway queue take-off delay to reduce fuel consumption by the different aircraft.

Abstract: Controlling autonomous vehicles requires accurate information about how entities behave in an environment with respect to one another. In an example, a data structure is used to associate entities in an environment of the vehicle with the vehicle and/or with each other. For example, associations between entities can be based on locations of the entities relative to each other and/or relative to segments of a drivable surface. Information about associations between the vehicle and/or entities in the environment may be used to identify entities that may influence travel of the vehicle and/or other entities and, in some implementations, vehicle controls can be generated based on these relevant entities.

Abstract: 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.

Abstract: A method and automated flight trajectory prediction and flight trajectory-borne automated delay risk-transfer system related to airspace risks for risk sharing of a variable number of risk-exposed units by pooling resources of the risk-exposed units and by providing the risk-transfer system as a self-sufficient operatable risk-transfer system based on the pooled resources for the risk-exposed units by a resource-pooling system associated with the risk-transfer system. The risk-exposed units are connected to the risk-transfer system by a plurality of payment-transfer devices configured to receive and store payments from the risk-exposed units for the pooling of their risks and resources, and an automated transfer of risk exposure associated with the risk-exposed units is provided by the risk-transfer system.

Abstract: An airspace is appropriately allocated when the airspace is allocated to an unmanned aerial vehicle. Authority level acquisition means of an airspace management system acquires, for each unmanned aerial vehicle, an authority level of an operation of the unmanned aerial vehicle. Airspace level acquisition means acquires, for each airspace occupying a fixed range, an airspace level indicating an allowable range of the authority level in the airspace. Determination means determines whether or not the unmanned aerial vehicle can fly in a given airspace based on the authority level and the airspace level.

Abstract: An automated method of moving aircraft parts between facilities includes determining a dispatch reliability rate associated with a group of aircraft parts. The dispatch reliability rate indicates a percentage of incoming flights meeting departure demands at a first facility, and the departure demands are based on the group of aircraft parts. The automated method also includes comparing the dispatch reliability rate to a dispatch reliability rate threshold associated with the group of aircraft parts to generate comparison data. The automated method further includes determining to adjust a stock level of at least one aircraft part of the group of aircraft parts at the first facility based on the comparison data. The automated method further includes moving a quantity of the at least one aircraft part between the first facility and a second facility to adjust the stock level of the at least one aircraft part at the first facility.

Abstract: A system for risk sharing of a variable number of objects includes circuitry that receives transmitted air data parameters of aircraft controllers and/or ground-based flight controllers of air-ports or flight control systems and filters the transmitted air data parameters to detect flight indicators indicating predicted or actual flight time parameters assigned to a specific flight trajectory of an aircraft. The circuitry also dynamically triggers the flight time parameters via data flow pathway of the aircraft controllers and/or the ground-based flight controllers based on a predefined time-delay threshold value. For each triggered occurrence of a time delay associated with the specific flight trajectory, the circuitry sets a corresponding trigger-flag to all the objects assignable to that flight, and allocates a parametric transfer of payments to each trigger-flag.

Abstract: Route planning and movement of an aircraft on the ground based on a navigation model trained to improve aircraft operational efficiency is provided herein. A system comprises a memory that stores executable components and a processor, operatively coupled to the memory, that executes the executable components that comprise an assessment component, a sensor component, and a route planning component. The assessment component accesses runway data, taxiway data, and gate configuration data associated with an airport. The sensor component collects, from a plurality of sensors, sensor data related to performance data of an aircraft and respective conditions of the runway, the taxiway, and the gate configuration data. The route planning component employs a navigation model that is trained to analyze the sensor data, the runway data, the taxiway data, and the gate configuration data, and generate a taxiing protocol to navigate the aircraft to improve aircraft operational efficiency.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving data related to a first flight risk factor and a second flight risk factor where the first and second risk factors include one of: a proficiency risk factor, an equipment risk factor, an environmental risk factor, or a performance risk factor. Applying a first weighting to the first flight risk factor to generate a first weighted flight risk factor, and applying a second weighting to the second flight risk factor to generate a second weighted flight risk factor. Assessing a flight risk level for a flight based on the first weighted flight risk factor and the second weighted flight risk factor. Providing data indicating the assessed flight risk level for the flight for display to a user.

Abstract: A radar apparatus includes: a derivation portion that derives an instantaneous value of a target; a tracking portion that tracks a single target based on a derivation result of the derivation portion; a lost process portion that performs a lost process to stop the single target from being tracked by the tracking portion; and a target classification portion that classifies the single target into a standstill target or a moving target; and, when the single target is the standstill target, the lost process portion suppresses generation of the lost process more greatly than when the single target is the moving target.

Abstract: A computing method for transmitting data from a ground computing device to an aircraft computing device, comprises receiving, by an aircraft API executing on an aircraft interface computing device, an initial communication from an aircraft service executing on the aircraft computing device located onboard an aircraft; determining, by the aircraft API, that a data file is to be transmitted from the ground computing device to the aircraft computing device; transmitting, to the ground computing device, a data signal configured to cause the data file to be transmitted from the ground computing device to a transient storage location associated with the aircraft interface computing device; and causing the data file to be transmitted from the transient storage location to the aircraft computing device.

Abstract: Aspects of the present disclosure relate to differentiating between active and inactive construction zones. In one example, this may include identifying a construction object associated with a construction zone. The identified construction object may be used to map the area of the construction zone. Detailed map information may then be used to classify the activity of the construction zone. The area of the construction zone and the classification may be added to the detailed map information. Subsequent to adding the construction zone and the classification to the detailed map information, the construction object (or another construction object) may be identified. The location of the construction object may be used to identify the construction zone and classification from the detailed map information. The classification of the classification may be used to operate a vehicle having an autonomous mode.

Abstract: A storage and retrieval system including a storage structure having storage shelves, each storage shelf having slats for supporting stored items where the slats are spaced apart from each other by a predetermined distance, an autonomous transport vehicle including at least one sensor configured to sense each of the slats and output a signal indicating when a slat is sensed, and a controller for verifying a location of the autonomous transport vehicle within the storage structure based on at least the output signal.

Abstract: A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.

Abstract: Systems and methods are provided for detecting a potential ambiguity in a sequence of clearance communications using conversational contextual information to identify potentially related communications. One exemplary method involves obtaining a first clearance communication associated with a first aircraft, obtaining a second clearance communication associated with a second aircraft, identifying a first conversational context associated with the first clearance communication, identifying a second conversational context associated with the second clearance communication, identifying a discrepancy between the first clearance communication and the second clearance communication based at least in part on the first conversational context and the second conversational context, and in response to identifying the discrepancy, generating a user notification at one of the first aircraft and the second aircraft.

Abstract: A method for managing an Unmanned Aerial Vehicle (UAV) is described. The method includes receiving a flight plan that describes a proposed flight mission of the UAV in an airspace; adding one or more predefined points to the flight plan to create an enhanced flight plan, wherein each of the predefined points is associated with a set of conditions and a set of locations; and transmitting the enhanced flight plan to the UAV for storage of the predefined points on the UAV while the UAV carries out the proposed flight mission.

Abstract: A method for assisting in a flight management of an aircraft calculates a local cost function CF(xi, hj) at various altitudes hj along a planned vertical reference flight trajectory over a discrete set of points P(xi, hj) which forms a two-dimensional grid in which the planned vertical reference flight trajectory varies, the local cost function CF(xi, hj) being calculated locally at each point P(xi, hj) according to aircraft data and environmental data predicted at said local point P(xi, hj). Then, for each point P(xi, hj) of the grid, the method determines a neighbourhood including the point P(xi, hj), and associates a colour K(xi, hj) therewith that is dependent on the value of the local cost function CF(xi, hj) using a predetermined bijective lookup transformation. Next, the method displays the coloured grid formed by the coloured neighbourhoods.

Abstract: A method for revising a target take off time in the environment of an airport, associated system and aircraft having such a system. The method includes steps implemented by a computer of an aircraft, including acquisition from an information source of a current position of the aircraft in the environment of the airport and determination of a revised take off time from the current position of the aircraft, from airport data and from performance data of the aircraft, comparison of the target take off time, previously stored in a data memory of the aircraft, to the revised take off time, and if the difference between the target take off time and the revised take off time is greater than a tolerance value, sending by a communication unit of the aircraft of the revised take off time to a system external to the aircraft.

Abstract: Provided is a multi-UAV continuous movement control method for energy efficient communication coverage. The method includes: determining observation information at a current moment, the observation information including one or more of the following: energy consumption information of a UAV, coverage indication information of users covered by a UAV network facilitated by the UAV or coverage fairness information of the UAV network; determining control information corresponding to the observation information using a DDPG model according to the observation information, wherein the DDPG model is generated from a DDPG algorithm with sample information as an input, the sample information indicating a mapping relationship between sampled observation information and sampled control information; and controlling the UAV to move according to the control information.

Abstract: An ADS-B spoofer being an false ADS-B squitter, an ADS-B squitter being an aircraft position information signal transmitted to secondary radars, the ADS-B squitters being detected over time at different bearings of the antenna in rotation of the radar, the method comprises, for each secondary radar, at least the following steps: a first step of detection of an ADS-B spoofer; a second step of location of the position in azimuth of the ADS-B spoofer generator, the second step comprising the following operations: measurement of the azimuth of the antenna of the secondary radar and of the received powers on the sum, difference and control patterns of the antenna upon the detection of an ADS-B squitter; generation and storage of at least one assumption of azimuth of the spoofer for each ADS-B squitter detected, the assumption being equal to the sum of the azimuth of the antenna and of the estimated bearing of the spoofer, the estimated bearing being characterized by the ratio of the received power on the sum patte

Abstract: A computing method for transmitting data from an aircraft computing device on an aircraft to a ground computing device, comprises receiving, by an aircraft API executing on an aircraft interface computing device, an initial communication from an aircraft service executing on the aircraft computing device; determining, by the aircraft API, that a data file is to be transmitted from the aircraft computing device to the ground computing device; transmitting, to the aircraft computing device, a data signal configured to cause the data file to be transmitted from the aircraft computing device to a transient storage location associated with an aircraft interface computing device; and causing the transmission of the data file from the transient storage location to the ground computing device.

Abstract: The disclosed embodiments relate to methods and systems for avoiding a collision between an aircraft on the ground and an obstacle using a three-dimensional visual indication of the area or plane of winglets on the wingtips of the aircraft. The method includes receiving a video image from a camera positioned in one of the winglets, the video image representing a field of view through which the winglet of the aircraft will pass along a present heading of the aircraft. Next a processor determines a three-dimensional area or plane within the field of view through which the winglet of the aircraft will pass. An overlay is displayed within the field of view to assist the pilot in avoiding collisions with obstacles.

Abstract: A departure sequencing system models airport operations and provides suggested gate pushback times for aircraft. In various embodiments, a departure sequencing system includes an airport state analyzer, a taxi-out predictor, and a pushback optimizer. The departure sequencing system may utilize stochastic models, and resolve aircraft conflicts using a business rules engine. Via use of the departure sequencing system, taxi times may be reduced, taxi fuel burn may be reduced, and airport throughput may be increased.

Abstract: The present disclosure discloses a system, method and apparatus for controlling an autonomous driving vehicle. A specific embodiment of the method comprises: periodically sending a heartbeat signal and/or communication data to a master control terminal device to determine whether the master control terminal device fails; and in response to determining a failure of the master control terminal device, acquiring data collected by a standby sensor, analyzing the data to generate a control instruction, and sending the generated control instruction to an electronic controller to enable the electronic controller to control the autonomous driving vehicle. The implementation improves the reliability of the autonomous driving vehicle.

Abstract: A method of localizing an object is provided. The method comprises deactivating a wireless system in a defined zone and then activating a wireless data concentrator located in the defined zone, wherein the wireless data concentrator is electrically isolated from the wireless system. The wireless system is activated, wherein the wireless system is electrically coupled to a circuit breaker with a known location in the defined zone. A signal from the wireless system is received at the wireless data concentrator. The distance of the wireless system from the wireless data concentrator is determined based on the signal, and a location is assigned to the wireless system within the defined zone based on the distance of the wireless system from the wireless data concentrator and the known location of the circuit breaker in the defined zone.

Abstract: Automated air traffic control systems and methods may include one or more sensors, such as radar sensors, that are positioned and oriented at opposite ends of a runway. The sensors may detect aerial vehicles on the runway, as well as aerial vehicles within approach corridors at opposite ends of the runway, and other aerial vehicles proximate the runway. Based on data received by the sensors, various characteristics of aerial vehicles can be determined, and instructions for the aerial vehicles can be determined based on the detected characteristics. Then, the aerial vehicles may utilize the determined instructions to coordinate their operations proximate the runway, which may include takeoff, taxiing, and/or landing operations. Further, speech-to-data processing may be used to translate between data and speech or audio input/output in order to enable coordination between unmanned aerial vehicles, manned aerial vehicles, and combinations thereof.

Abstract: A construction machine work management system including a construction machine, an aircraft equipped with a camera, and a management device is provided. The construction machine work management system includes a processor configured to execute a program stored in a memory to implement processes of specifying a progress region within a work site on which work progress has been made by the construction machine, and setting up a flight path of the aircraft so that the camera of the aircraft can capture an image of the progress region.

Abstract: Embodiments provide for vertical flight path optimization by generating a plurality of waypoints with allowable parameters for a flightpath at which a course, including elements for heading, altitude, and speed, of an aircraft is adjustable; calculating a number of unique trajectories available based on the plurality of waypoints; when the number of unique trajectories is greater than a threshold number of trajectories, performing a probabilistic assessment of the unique trajectories to identify an elite set of trajectories that include those trajectories with efficiency metrics within an upper range of a set of assessed trajectories; identifying mobile waypoints in trajectories of the elite set of trajectories; performing a global optimal path assessment, wherein positions of mobile waypoints are adjusted within an associated trajectory to identify an optimal trajectory for the aircraft on the flightpath; and providing the optimal trajectory to the aircraft to follow the flightpath according to the optimal t

Abstract: A navigation controller system and method for retrieving control of a remotely controlled device includes an onboard primary controller supportable on a remotely controlled device and adapted to control operation thereof, a base controller adapted to communicate with the onboard primary controller by a first mode of communications to provide instructions to control and operate the remotely controlled device, and an auxiliary controller module supportable on the remotely controlled device either separately from or integrated into the onboard primary controller and adapted to communicate with the base controller by a second mode of communications not the same as the first mode of communications so that the auxiliary controller module acts as a backup to disable, disconnect or otherwise take over control from the onboard primary controller when it is rendered non-responsive to communications from the base controller.

Abstract: A method and system for providing cost data via an operating cost app for a flight associated with a flight plan, by a computing device including: obtaining cost data of the flight plan by executing the operating cost app to implement an operating cost integrator application integrated with the operating cost app to interface with a plurality of service providers for retrieving operating cost data of the flight plan from each of the service providers; obtaining, by the at least one processor, real-time aircraft performance parameters affecting the actual cost of the flight including: a landing time and a takeoff time; determining an actual cost of the flight by using software solutions of the operating cost app, and by calculating ground charges at the airport derived from the sensed data by the operating cost app and presenting the actual cost of the ground charge, via a display device for displaying.

Abstract: The illustrative embodiments provide for a method a training system. The training system includes a physical sensor system connected to a physical vehicle. The physical sensor system is configured to obtain real atmospheric obscuration data of a real atmospheric obscuration. The training system also includes a data processing system comprising a processor and a tangible memory. The data processing system is configured to receive the real atmospheric obscuration data, and determine based on the real atmospheric obscuration data whether a target is visible to the physical vehicle in a simulation training environment generated by the data processing system. The simulation training environment at least including a virtual representation of the physical vehicle and a virtual representation of the real atmospheric obscuration.

Abstract: Disclosed herein is a method. The method comprises retrieving a first message comprising flight information that is input into a flight information system associated with a flight. The method also comprises receiving a second message comprising flight information that is input into the flight information system associated with the flight based on the first message. The method further comprises verifying that the flight information that is sent in the first message matches the flight information that is received in the second message. The method additionally comprises providing a notification in response to verifying that the flight information that is sent in the first message does not match the flight information that is received in the second message.

Abstract: A method may include receiving flight plan data representing a set of current flight plans and receiving surveillance data representing a set of current aircraft statuses. The method may further include generating merged data representing a set of flight portions that remain to be flown. The method may also include receiving operational context data representing airspace configurations, airport configurations, or a combination thereof, and receiving weather data. The method may include generating predicted flight traffic data by performing a simulation of flights over a duration of time, the simulation based at least partially on the merged data, the operational context data, and the weather data. The method may further include generating a user output based at least partially on the predicted flight traffic data.

Abstract: An air traffic control support system for more quickly grasping a flight plan in air traffic control is provided. An air traffic control support system 3 includes a learning unit 100 and a prediction unit 200. The learning unit 100 generates a prediction model, based on learning data including a past flight plan and information that affected formulation of the past flight plan. The prediction unit 200 predicts a flight plan, based on information that affects formulation of the flight plan and a prediction model.

Abstract: An airport congestion detection apparatus includes a predictor input module coupled to a multiple airport information system. The input module obtains from the multiple airport information system weather data for a current point in time and flight information for a predetermined airport. A controller coupled to the input module determines one or more of a number of predicted flight departures from the predetermined airport and a number of predicted flight arrivals to the predetermined airport within a future predetermined time period based on the weather data for the current point in time and the flight information, and determines, from the predictions, a congestion index for the predetermined airport. A user interface coupled to the controller presents to an operator of the airport congestion detection apparatus the congestion index so that one or more of a flight plan characteristic or an aircraft loading characteristic is modified based on the congestion index.