Abstract: Implementations of the present disclosure are generally directed to activating features in power machines. More particularly, implementations of the present disclosure are directed to remote activation of features in power machines.

Abstract: A system and method for facilitating autonomous satellite level communications is disclosed. The method includes receiving a request from a user to transmit satellite information captured by a source satellite from the source satellite to a destination node via one or more intermediate satellites. The method further includes receiving one or more input parameters and determining a plurality of states corresponding to the source satellite and the one or more intermediate satellites. Further, the method includes generating a plurality of actions and an expected reward value for each of the plurality of actions. Furthermore, the method includes determining an optimal action among the plurality of actions and outputting the optimal action to the source satellite and the one or more intermediate satellites, one or more user devices or a combination thereof for transmission of the satellite information from the source satellite to the destination node.

Abstract: In a radar apparatus of the present invention, a ghost deciding unit decides whether or not a first condition that a first object candidate and a second object candidate are in the same direction with respect to the transmission/reception unit is satisfied, and then decides whether or not a second condition that, of the first and second object candidates, a reflection power from the first object candidate located farther away from the transmission/reception unit is smaller than a reflection power from the second object candidate located closer to the transmission/reception unit is satisfied. The ghost deciding unit decides that only when the first condition and the second condition are satisfied, the first object candidate is a ghost.

Abstract: An airspace network optimization method based on a flight normality target is capable of comprehensively considering spatial and temporal distribution of national air traffic demands, a service capability of an airspace network and a capacity increase limit of each airspace unit according to the flight normality optimization target on the basis of carrying out pre-analysis on a flight operation efficiency under a current airspace service capability, to position a key problem airspace and generate a capacity expansion suggestion of the related airspace; and aims at improving the flight operation efficiency by expanding the airspace service capability, and providing technical support for a user to carry out analysis and optimization work of national airspace network problems at a strategic level.

Abstract: A method of communicating messages is provided. The method comprises receiving a message from a first station; determining whether the message requires clearance from a second station; displaying clearance intended message determined to require clearance from the second station to a consumer of the message; automatically translating the clearance intended message to a format understood by the second station; and routing the translated message to the second station upon selection of the clearance intended message by the consumer of the message.

Abstract: A system and method are provided that direct a real time global view with images of an aircraft's entire exterior environment from an external monitoring system located on an aircraft equipped with landing gear wheel-mounted electric taxi drive systems powering ground travel to an integrated head-up display worn by a pilot driving the aircraft with the electric taxi drive systems within an airport ramp area. The real time global view and images produced by the monitoring system are communicated to the integrated head-up display in the form of an actual picture of the ramp area environment exterior to the aircraft viewable by the pilot with the head-up display in real time as the pilot maneuvers the aircraft within the ramp area with the electric taxi systems. The pilot can change the images viewed in the head-up display by changing head position.

Abstract: Air traffic control systems and methods include communicating with passenger drones via one or more cell towers associated with the one or more wireless networks, wherein the passenger drones each include hardware and antennas adapted to communicate to the one or more cell towers, and wherein each passenger drone has a unique identifier in the air traffic control system; obtaining data associated with flight of each of the passenger drones based on the communicating; and managing the flight of each of the passenger drones based on the obtained data and performance of one or more functions associated with air traffic control, wherein each passenger drone is configured to constrain flight based on coverage of the one or more cell towers such that each passenger drone maintains communication on the one or more wireless networks.

Abstract: A method of providing an indication identifying a flight as including or not including a flight path deviation, the method includes receiving flight data associated with a flight, the flight data comprising a plurality of coordinates indicating a location of an aircraft at a plurality of times during the flight. The method also includes classifying a plurality of time intervals of the flight by applying a convolutional neural network algorithm to subsets of the plurality coordinates to determine that the time interval includes or does not include at least one flight path deviation. The method also includes identifying the flight as including at least one flight path deviation if at least one of the time intervals is classified as including the at least one flight path deviation and providing an indication identifying the flight as including at least one flight path deviation to a second computing system in response to identifying the flight as including at least one flight path deviation.

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: In an example, a method determines a first controllable vehicle traveling along a mitigation road segment of a roadway and determines a control lane in the mitigation road segment. The control lane includes the first controllable vehicle and is impedible by the first controllable vehicle. The method determines a first open lane in the mitigation road segment and applies a target mitigation speed to the first controllable vehicle in the control lane. The first open lane is adjacent to the control lane in the mitigation road segment and the target mitigation speed is based on a traffic state of the first open lane. The target mitigation speed adjusts a traffic stream that flows through the first open lane to mitigate traffic congestion located downstream of the mitigation road segment.

Abstract: A flight management system for unmanned aerial vehicles (UAVS), in which the UAV is equipped for cellular fourth generation (4G) flight control. The UAV caches on-board a 4G modem, an antenna connected to the modern for providing for downlink wireless RF. A computer is connected to the modem. A 4G infrastructure to support sending via uplink and receiving via downlink from and to the UAV. The infrastructure further includes 4G base stations capable of communicating with the UAV along its flight path. An antenna in the base station is capable of supporting a downlink to the UAV. A control centre accepts navigation related data from the uplink. In addition, the control centre further includes a connection to the 4G Infrastructure for obtaining downlinked data. A computer for calculating location of the UAV using navigation data from the downlink.

Abstract: A method and system allowing fully autonomous automatic take-off using only images captured by cameras on the aircraft and avionics data. The system includes an image capture device on the aircraft to take a stream of images of the runway, image processing modules to estimate, on the basis of the streams of images, a preliminary current position of the aircraft on the runway and to assign a preliminary confidence index to the estimate. A data consolidation module can determine a relevant current position of the aircraft on the runway by consolidating data originating from the image processing modules with inertial data to correct the estimate of the preliminary current position and determine a relevant confidence index using a current speed of the wheels of the aircraft to refine the preliminary confidence index. A flight control computer can control and guide aircraft take-off.

Abstract: Techniques for estimating the impact of new operational conditions in a baseline air traffic scenario are described. For at least one flight, embodiments infer an aircraft intent that fits corresponding flight track data. A reconstructed trajectory is computed using the inferred aircraft intent. For at least one flight in an alternative air traffic scenario, an aircraft intent that fits new operational conditions is generated. The new operational conditions include a new air traffic management operation and a new air traffic procedure, and the generated aircraft intent conforms to the new air traffic management operation and the new air traffic procedure. Embodiments compute a generated trajectory of the at least one flight in the alternative air traffic scenario using the generated aircraft intent and compute trajectory-based analytics on each computed trajectory of the baseline and alternative air traffic scenarios using a set of metrics.

Abstract: A system and methods for enhancing operator situational awareness are disclosed. For example, one method includes monitoring a plurality of radio transmissions associated with a plurality of vehicles in a first traffic flow pattern, monitoring a second traffic flow pattern in a vicinity of a vehicle of the plurality of vehicles, monitoring at least one weather value for a destination site for the plurality of vehicles, proposing a destination approach for the vehicle in response to the monitoring, evaluating an impact of the proposed destination approach on an existing travel path for the vehicle, and generating a second travel path for the vehicle in response to the evaluating.

Abstract: An air traffic control system is described that comprises at least two aircraft radios and a ground system. The ground system has an operator device and at least one ground radio station configured to communicate with the at least two aircraft radios. The ground system has a simultaneous transmission detection unit that is configured to detect at least two aircraft radio signals received simultaneously by the at least one ground radio station. The at least one ground radio station is configured to forward information with regard to the simultaneous transmission detection of at least two aircraft radio signals to at least one of the at least two aircraft radios. Furthermore, a method of simultaneous call transmission handling is described.

Abstract: A management system comprises a movement management unit that communicates via a communication device with a plurality of moving bodies including an autonomous moving body provided with an autonomous control unit for moving autonomously, and that manages the movement of the plurality of moving bodies. The movement management unit comprises a priority/subordination determination unit that determines the degree of priority/subordination relating to the respective movements of the plurality of moving bodies on the basis of individual information of the moving bodies.

Abstract: A method for detecting unmanned aerial vehicles (UAV) includes detecting an unknown flying object in a monitored zone of air space. An image of the detected unknown flying object is captured. The captured image is analyzed to classify the detected unknown flying object. A determination is made, based on the analyzed image, whether the detected unknown flying object comprises a UAV.

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: 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: 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: 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 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: 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: 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.