915results about "Multiple aircraft traffic management" patented technology

Systems and methods for UAV safety are provided. An authentication system may be used to confirm UAV and / or user identity and provide secured communications between users and UAVs. The UAVs may operate in accordance with a set of flight regulations. The set of flight regulations may be associated with a geo-fencing device in the vicinity of the UAV.

The present invention provides a traffic management system for managing unmanned aerial systems (UASs) operating at low-altitude. The system includes surveillance for locating and tracking UASs in uncontrolled airspace, for example, in airspace below 10,000 feet MSL. The system also includes flight rules for safe operation of UASs in uncontrolled airspace. The system further includes computers for processing said surveillance and for applying the flight rules to UASs. The traffic management system may be portable, persistent, or a hybrid thereof.

Modern farming is currently being done by powerful ground equipment or aircraft that weigh several tons and treat uniformly tens of hectares per hour. Automated farming can use small, agile, lightweight, energy-efficient automated robotic equipment that flies to do the same job, even able to farm on a plant-by-plant basis, allowing for new ways of farming. A hybrid airship-drone has both passive lift provided by a gas balloon and active lift provided by propellers. A hybrid airship-drone may be cheaper, more stable in flight, and require less maintenance than other aerial vehicles such as quadrocopters. However, hybrid airship-drones may also be larger in size and have more inertia that needs to be overcome for starting, stopping and turning.

A system and method are described that converts ATC voice instructions into text, and identifies intent wording and data from the text. The intent wording and data are preferably displayed in different formats, and may be included on a map of the aircraft route. Furthermore, a read back of the instructions by the pilot to ATC may be analyzed and compared with the ATC command. If the comparison is faulty, the formats of the intent wording and / or data may be modified further to alert the pilot of the discrepancy.

A drone traffic management system comprising a computer comprising memory means for storing origin coordinates indicating an origin location of a drone, destination coordinates indicating a destination of the drone, and traffic management factors located between the origin location of the drone and the destination of the drone; and processing means for controlling the flight of a drone. This is accomplished by calculating a flight path for the drone to fly automatically from the origin location to the destination location without manual intervention, sending the flight path to the drone, receiving location data of the drone as it travels from the origin location to the destination, re-calculating the flight path of the drone as a function of the traffic management factors and the location data of the drone, and sending the re-calculated flight path to the drone.

A method of and computer software for minimizing aircraft deviations needed to comply with an en route miles-in-trail spacing requirement imposed during air traffic control operations via establishing a spacing reference geometry, predicting spatial locations of a plurality of aircraft at a predicted time of intersection of a path of a first of said plurality of aircraft with the spacing reference geometry, and determining spacing of each of the plurality of aircraft based on the predicted spatial locations.

A drop box apparatus is provided including a defined cavity capable of storing packages. A drop-off opening is disposed and arranged to receive at least one package from an unmanned aerial vehicle, and a pick-up opening is disposed and arranged to provide access to the package by a recipient. At least one path connects the defined space, drop-off opening, and the pick-up opening.

A system is provided for managing the inbound flow of aircraft to an airfield by ensuring that aircraft are sequenced before departure into an arrival stream. Sequencing uses operational data obtained from airlines and then provides a methodology for sharing this data with the air traffic control (ATC) agency. The outcome is a daily arrival schedule providing a predetermined operational arrival time for each aircraft movement. The operational data used by the system relates to airline punctuality, taxi times at departure airfields and actual flight times predicted on a flight-by-flight basis by airline flight planning systems. This information is combined to effect a predictive arrival time at a desired navigational fix.

Systems and methods for UAV safety are provided. An authentication system may be used to confirm UAV and / or user identity and provide secured communications between users and UAVs. The UAVs may operate in accordance with a set of flight regulations. The set of flight regulations may be associated with a geo-fencing device in the vicinity of the UAV.

Systems and methods for UAV safety are provided. An authentication system may be used to confirm UAV and / or user identity and provide secured communications between users and UAVs. The UAVs may operate in accordance with a set of flight regulations. The set of flight regulations may be associated with a geo-fencing device in the vicinity of the UAV.

A system and method for automating Air Traffic Control operations at or near an airport. as a complete standalone automated system replacing the need for a human controller to make aircraft movement decisions nor the need communicate with pilots, or as semi-automated, where a controller controls how the system operates. The system with related methods and computer hardware and computer software package, automatically manages manned aircraft, remote controlled UAV and airborne-able vehicles traffic at or near an airport, eliminates ATC-induced and reduce pilot-induced runway incursions and excursions, processes control messages related to aircraft or Pilots, communicates with Pilot over ATC radio frequency, receives aircraft positions, communicates control messages with the aircraft avionics, provides pilots a dynamic map with continuous display of nearby traffic operations, shows clearance and information related to runway operations, warns pilot of runway conditions and turbulence from other operations, warns when landing gear is not locked, displays the pilot emergency exits during takeoff roll, shows the pilot when and where to exit from the runway, shows the pilot where and when to cross a junction, calculates and displays pilot optimal speed and timing on taxiways and junctions for saving fuel, calculates congestions, calculates best taxiway routes, calculates when aircraft can cross a runway, provides directives and information to pilot over CPDLC display or dynamic map for airside operations, alerts and triggers breaks of the aircraft on wrong path or when hold-short bar is breached, displays emergency personnel with routing map and final aircraft resting position for emergency operations, takes over an aircraft operation when aircraft is hijacked or deviates from the flight plan, provide standalone or manned Remote Tower functionality, Records and retains all information related to airport airside operations including aircraft positions and conditions from sensors and reports for runways, junctions and taxiways, Records and retains aircraft data and cockpit voice to ground-based servers to eliminate black-box requirements, calculate future weather and airport capacity from aircraft at or nearby airport, coordinates handoff operations with other ATC positions, interfaces with ACDM systems, airport operations center, flow center and network operations center.

A multi-zone battery station is provided, comprising a plurality of landing areas configured to support a UAV. The battery station may permit battery life to be reloaded onto a UAV, which may include recharging a battery of the UAV or exchanging the UAV battery for a new battery. The different zones may accommodate different UAV types, different battery types, or operate in accordance with different energy provision rules. A marker may be provided on a landing area to aid in guiding the UAV to an appropriate landing area.

A method for predicting the trajectory of an aircraft is disclosed. It yields the arrival / departure times for a plurality of aircraft with respect to a specified system resource and is based upon specified data and other operational factors pertaining to the aircraft and system resource. This process comprises the steps of: (a) collecting and storing the specified data and operational factors, (b) processing, at an initial instant, the specified data that is applicable at that instant to the aircraft so as to predict an initial trajectory encompassing arrival / departure times for each aircraft, (c) upgrading these initial trajectory predictions for effects of: (1) environmental factors (weather, turbulence), (2) actions of the Air traffic Control system (e.g., stacking incoming aircraft when runway demand is greater than availability), and (3) secondary assets (e.g., crew availability / legality, gate availability, maintenance requirements), (d) communicating these trajectory predictions to interested parties and (e) continuously monitoring all trajectories, and, as necessary, updating the predictions.

The embodiments of the present invention disclose a method and apparatus for joint optimization of multi-UAV task assignment and path planning. The method comprises: obtaining the location information of a plurality of UAVs and a plurality of target points, the dispersion of groundspeed course angle, and motion parameters of each UAV and wind field; constructing an initial population based on the location information, the dispersion of groundspeed course angle and a preset genetic algorithm; determining the flight status of each UAV and the flight time taken by each UAV to complete a path segment of the corresponding Dubins flight path based on the initial population and the motion parameters, obtaining the total time taken by all the UAVs corresponding to each chromosome to complete the task based on the flight time of the path segment; and subjecting the chromosomes in the initial population to crossover and mutation based on the genetic algorithm and, when a predetermined number of iterations is reached, selecting the optimal Dubins flight path as the joint optimization result. In the embodiments of the present invention, the UAV flight path planning problem is combined with the actual flight environment of the UAV, so that the optimal flight path obtained is superior to the solution in which the UAV speed is constant.

A method for predicting the trajectory of an aircraft is disclosed. It yields the arrival / departure times for a plurality of aircraft with respect to a specified system resource and is based upon specified data and other operational factors pertaining to the aircraft and system resource. This process comprises the steps of (a) collecting and storing the specified data and operational factors, (b) processing, at an initial instant, the specified data that is applicable at that instant to the aircraft so as to predict an initial trajectory encompassing arrival / departure times for each aircraft, (c) upgrading these initial trajectory predictions for effects of (1) environmental factors (weather, turbulence), (2) actions of the Air traffic Control system (e.g., stacking incoming aircraft when runway demand is greater than availability), and (3) secondary assets (e.g., crew availability / legality, gate availability, maintenance requirements), (d) communicating these trajectory predictions to interested parties and (e) continuously monitoring all trajectories, and, as necessary, updating the predictions.

Method and system for analyzing and processing information on one or more aircraft flight paths, using a four-dimensional coordinate system including three Cartesian or equivalent coordinates (x, y, z) and a fourth coordinate δ that corresponds to a distance estimated along a reference flight path to a nearest reference path location corresponding to a present location of the aircraft. Use of the coordinate δ, rather than elapsed time t, avoids coupling of along-track error into aircraft altitude and reduces effects of errors on an aircraft landing site. Along-track, cross-track and / or altitude errors are estimated and compared with a permitted error bounding space surrounding the reference flight path.

A multi-zone battery station is provided, comprising a plurality of landing areas configured to support a UAV. The battery station may permit battery life to be reloaded onto a UAV, which may include recharging a battery of the UAV or exchanging the UAV battery for a new battery. The different zones may accommodate different UAV types, different battery types, or operate in accordance with different energy provision rules. A marker may be provided on a landing area to aid in guiding the UAV to an appropriate landing area.

Multilateration techniques are used to provide accurate aircraft tracking data for aircraft on the ground and in the vicinity of an airport. From this data, aircraft noise and operations management may be enhanced. Aircraft noise may be calculated virtually using track data in real-time and provided to a user to determine noise violations. Tracking data may be used to control noise monitoring stations to gate out ambient noise. Aircraft emissions, both on the ground and in the air may be determined using tracking data. This and other data may be displayed in real time or generated in reports, and / or may be displayed on a website for viewing by airport operators and / or members of the public. The system may be readily installed in a compact package using a plurality of receivers and sensor packages located at shared wireless communication towers near an airport, and a central processing station located in or near the airport.

The automatic method of tracking and organizing the movements of vehicles on the ground in a zone of an airport comprises the steps consisting in: acquiring data relating to the possible presence of at least one body in the zone; analyzing the acquired data; and where necessary as a result of the analysis, defining an action as a function of the result. The method also makes it possible to detect the presence of a foreign body in zones over which airplanes can travel, and in particular on runways.

Described herein are systems and methods for surface management of an airport. One embodiment of the disclosure of this application is related to a method including receiving airport data from an airport network, receiving surface surveillance data for specific segments of an airport area, identifying predicted conflicts within one of the segments based on the airport data and surface surveillance data, and allocating a taxi time slot for the flight. Another embodiment of the disclosure of this application is related to a system comprising a user interface displaying information related to flight plan data and airport data received from an airport network, and a surface management module receiving the airport data and surface surveillance data for specific segments of an airport area, identifying predicted conflicts within one of the segments based on the airport data and surface surveillance data, and allocating a taxi time slot for the flight.

Techniques, systems, and devices are disclosed for safely transporting passengers from pickup locations to destination locations on-demand using automated / pilotless vertical takeoff and landing (VTOL) aircraft. In one implementation, an on-demand passenger transport system includes one or more VTOL aircraft which operate without human pilots, and each of the VTOL aircraft operates under the control of an associated onboard computer. The disclosed system further includes a ground control system which is configured to: receive a service request from a passenger for a transport service of the VTOL aircraft; assign one of the VTOL aircraft to the requesting passenger; process the service request to generate a flight task; transmit the flight task to the assigned VTOL aircraft. The onboard computer of the VTOL aircraft is configured to control a flight of the VTOL aircraft to transport the passenger from a pickup location to a destination location by air based on the flight task.

Status information on plane, passenger, cargo, crew, fuel, food, baggage, maintenance, weather and any other process used to manage airport operations, including expediting aircraft turnaround time for takeoff, is gathered into a common decision support database. The system includes decision support tools to increase the sharing of information between airline, airport, contractors and the Federal Aviation Administration (FAA), to more efficiently and safely manage the service, maintenance and operations of aircraft.

A method and apparatus are disclosed for reducing traffic flow instabilities and increasing vehicle throughput by monitoring the distances and velocities of motor vehicles leading and following a center vehicle and controlling the velocities of the vehicles to maintain a steady relative distance between the center vehicle and the leading and following vehicles. Using distance and speed information derived from both leading and following vehicles reduces the loop gain of feedback needed below one (1) and diminishes traffic instabilities caused by “car following.”

A computer implemented method for an aviation system to manage, consistent with specified system business goals, the temporal assignment of airport gates for use by a plurality of aircraft which are to-be-serviced by specified ground resources, including ground personnel, equipment and supplies, so as to deliver and receive specified passengers, their baggage and cargo during a specified time period, based upon specified data pertaining to the aircraft, passengers and ground resources, includes the steps of: (a) collecting and storing the specified data, (b) processing the data to predict the trajectories of the aircraft, wherein these trajectories including the expected gate arrival time, required ground servicing period and projected departure time of each of the aircraft, (c) processing the data to predict the loads imposed on the ground resources and gates associated with the movement of the passengers, equipment and supplies in relation to the arrival and departure of the aircraft, (d) processing the data, trajectories and loads to identify the various possible ways to distribute the ground system resources and assign the gates so as to meet the time constraints of the predicted trajectories and loads, and (e) assigning to each of the plurality of aircraft a gate for use for a prescribed period, with these assignments being made in such a manner as to allow the aviation system to optimally meet its business goals.

Disclosed are algorithms and agent-based structures for a system and technique for analyzing and managing the airspace. The technique includes managing bulk properties of large numbers of heterogeneous multidimensional aircraft trajectories in an airspace, for the purpose of maintaining or increasing system safety, and to identify possible phase transition structures to predict when an airspace will approach the limits of its capacity. The paths of the multidimensional aircraft trajectories are continuously recalculated in the presence of changing conditions (traffic, exclusionary airspace, weather, for example) while optimizing performance measures and performing trajectory conflict detection and resolution. Such trajectories are represented as extended objects endowed with pseudo-potential, maintaining objectives for time, acceleration limits, and fuel-efficient paths by bending just enough to accommodate separation.

A system and method are provided for employing local, opportunistic Automatic Dependent Surveillance-Broadcast (ADS-B) information to augment other source “knowledge” of local aircraft position information for improving situational awareness in areas lacking ADS-B coverage provided by other aircraft control agencies including the Federal Aviation Administration (FAA), other Civil Aviation Authorities (CAAs), and / or other Air Traffic Control (ATC) entities. Locally-received, e.g., in a vicinity of a UAV or sUAS, ADS-B positional information is received by a UAV, sUAS or associated ground control station and integrated on a display component of the ground control station, e.g., a pilot display, for the UAV or sUAS. Received positional information is forwarded to other interested users / systems, including those associated with agencies or entities in overall tactical, operational or surveillance control of a particular area of operations, as appropriate as an integrated situational awareness map display picture.

According to a technical aspect of the invention, there is provided a multiple unmanned aerial vehicles navigation optimization method is performed at a ground base station which operates in conjunction with unmanned aerial vehicles-base stations which are driven by a battery to move and cover a given trajectory point set, the multiple unmanned aerial vehicles navigation optimization method including: calculating an age-of-information metric by receiving an information update from the unmanned aerial vehicles-base stations through communication, when the ground base station is present within a transmission range of the unmanned aerial vehicles-base stations; setting conditions of a trajectory, energy efficiency, and age of information of each of the unmanned aerial vehicles-base stations; and executing Q-learning for finding a trajectory path policy of each of the unmanned aerial vehicles-base stations, so as to maximize total energy efficiency of an unmanned aerial vehicles-base station relay network to which the energy efficiency and the age of information are applied.According to the invention, the following effects are obtained. Age of information (AoI) that is a new matrix used to measure up-do-dateness of data is set, an edge computing environment for a remote cloud environment is provided by using the AoI, and a computing-oriented communications application can be executed by using the edge computing environment.

A system is provided for maneuvering a payload in an air space constrained by one or more obstacles, and may include first and second aerial vehicles coupled by a tether to a ground station. Sensor systems and processors in the ground station and aerial vehicles may track obstacles and the tether's and the vehicles' positions and attitude to maneuver the payload and the tether to carry out a mission. The sensor system may include airborne cameras providing data for a scene reconstruction process and simultaneous mapping of obstacles and localization of aerial vehicles relative to the obstacles. The aerial vehicles may include a frame formed substantially of a composite material for preventing contact of the rotors with the tether segments.

A method for ensuring the operation and integrity of a three-dimensional integrated logistical system that includes a plurality of drones and a plurality of service stations; each of the plurality of drones having a plurality of environmental sensors and a plurality of internal sensors. The plurality of drones is routed to a destination location through a fleet management software that monitors the plurality of drones and the plurality of service stations. The fleet management software is able to detect operational issues amongst the plurality of drones and if necessary reroute the plurality of drones to the plurality of service stations in order to resolve said operational issues. A robotic service unit in each of the plurality of service stations is able to autonomously service the plurality of drones in addition to equipping the plurality of drones with a designated payload.

Methods and systems for routing and scheduling maintenance for aircraft. An aircraft routing and maintenance scheduling system generates an aircraft routing proposal based on information describing a possible flight of an aircraft and a maintenance scheduling proposal that corresponds to the aircraft based on information describing a possible maintenance schedule of the aircraft. The system determines a proposed flight assignment and proposed maintenance scheduling assignment based on the aircraft routing proposal and maintenance scheduling proposal. Thereafter, the system produces a flight assignment plan and maintenance scheduling plan using the proposed flight assignment and proposed maintenance scheduling assignment when the proposed flight assignment and proposed maintenance scheduling assignment meet a decision criterion describing requirements for aircraft routing and maintenance scheduling.