US8560148B2 - Method and apparatus for air traffic trajectory synchronization - Google Patents

Method and apparatus for air traffic trajectory synchronization Download PDF

Info

Publication number
US8560148B2
US8560148B2 US13/292,685 US201113292685A US8560148B2 US 8560148 B2 US8560148 B2 US 8560148B2 US 201113292685 A US201113292685 A US 201113292685A US 8560148 B2 US8560148 B2 US 8560148B2
Authority
US
United States
Prior art keywords
trajectory
aircraft
flight
restriction
separate ground
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active, expires
Application number
US13/292,685
Other versions
US20120116614A1 (en
Inventor
Sergio Torres
Joel Klooster
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
General Electric Co
Leidos Innovations Technology Inc.
Original Assignee
Lockheed Martin Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Lockheed Martin Corp filed Critical Lockheed Martin Corp
Assigned to GENERAL ELECTRIC COMPANY reassignment GENERAL ELECTRIC COMPANY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: KLOOSTER, JOEL
Priority to US13/292,685 priority Critical patent/US8560148B2/en
Assigned to LOCKHEED MARTIN CORPORATION reassignment LOCKHEED MARTIN CORPORATION ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: TORRES, SERGIO
Publication of US20120116614A1 publication Critical patent/US20120116614A1/en
Priority to CA2850485A priority patent/CA2850485C/en
Priority to PCT/US2012/058362 priority patent/WO2013049851A2/en
Priority to AU2012318234A priority patent/AU2012318234A1/en
Priority to EP12835104.6A priority patent/EP2761381B1/en
Priority to CN201280057997.3A priority patent/CN104246640B/en
Priority to BR112014007596-4A priority patent/BR112014007596B1/en
Publication of US8560148B2 publication Critical patent/US8560148B2/en
Application granted granted Critical
Assigned to ABACUS INNOVATIONS TECHNOLOGY, INC. reassignment ABACUS INNOVATIONS TECHNOLOGY, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: LOCKHEED MARTIN CORPORATION
Assigned to LEIDOS INNOVATIONS TECHNOLOGY, INC. reassignment LEIDOS INNOVATIONS TECHNOLOGY, INC. CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: ABACUS INNOVATIONS TECHNOLOGY, INC.
Assigned to CITIBANK, N.A. reassignment CITIBANK, N.A. SECURITY INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ABACUS INNOVATIONS TECHNOLOGY, INC., LOCKHEED MARTIN INDUSTRIAL DEFENDER, INC., OAO CORPORATION, QTC MANAGEMENT, INC., REVEAL IMAGING TECHNOLOGIES, INC., Systems Made Simple, Inc., SYTEX, INC., VAREC, INC.
Assigned to CITIBANK, N.A. reassignment CITIBANK, N.A. SECURITY INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: ABACUS INNOVATIONS TECHNOLOGY, INC., LOCKHEED MARTIN INDUSTRIAL DEFENDER, INC., OAO CORPORATION, QTC MANAGEMENT, INC., REVEAL IMAGING TECHNOLOGIES, INC., Systems Made Simple, Inc., SYTEX, INC., VAREC, INC.
Priority to AU2017201498A priority patent/AU2017201498B2/en
Assigned to REVEAL IMAGING TECHNOLOGY, INC., Systems Made Simple, Inc., OAO CORPORATION, LEIDOS INNOVATIONS TECHNOLOGY, INC. (F/K/A ABACUS INNOVATIONS TECHNOLOGY, INC.), VAREC, INC., SYTEX, INC., QTC MANAGEMENT, INC. reassignment REVEAL IMAGING TECHNOLOGY, INC. RELEASE BY SECURED PARTY (SEE DOCUMENT FOR DETAILS). Assignors: CITIBANK, N.A., AS COLLATERAL AGENT
Assigned to LEIDOS INNOVATIONS TECHNOLOGY, INC. (F/K/A ABACUS INNOVATIONS TECHNOLOGY, INC.), REVEAL IMAGING TECHNOLOGY, INC., VAREC, INC., Systems Made Simple, Inc., QTC MANAGEMENT, INC., OAO CORPORATION, SYTEX, INC. reassignment LEIDOS INNOVATIONS TECHNOLOGY, INC. (F/K/A ABACUS INNOVATIONS TECHNOLOGY, INC.) RELEASE BY SECURED PARTY (SEE DOCUMENT FOR DETAILS). Assignors: CITIBANK, N.A., AS COLLATERAL AGENT
Active legal-status Critical Current
Adjusted expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0004Transmission of traffic-related information to or from an aircraft
    • G08G5/0013Transmission of traffic-related information to or from an aircraft with a ground station
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/003Flight plan management
    • G08G5/0039Modification of a flight plan
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G5/00Traffic control systems for aircraft, e.g. air-traffic control [ATC]
    • G08G5/0073Surveillance aids
    • G08G5/0082Surveillance aids for monitoring traffic from a ground station

Definitions

  • the disclosure relates to air traffic trajectory synchronization, in particular to the synchronizing of distinct trajectories predicted by a plurality of systems.
  • trajectory based operations In trajectory based operations (TBO), air-ground and ground-ground interoperability and trajectory synchronization among the various systems is required since each of these systems rely on an accurate prediction of the flight path in four dimensions (4D trajectory or 4DT). Without proper synchronization, the Air Traffic Control (ATC) and Air Traffic Management (ATM) of the airspace is forced to add significant uncertainty into its prediction of the aircraft trajectory, thus decreasing the potential capacity of the available airspace and the efficiency of operations. The uncertainty that results from air-ground and ground-ground trajectory discrepancies also leads to non-optimal tactical intervention.
  • ATC Air Traffic Control
  • ATM Air Traffic Management
  • the goal of air-ground (or ground-ground) trajectory synchronization is to produce trajectories in disparate systems whose discrepancies are operationally insignificant, increasing the likelihood of flying the planned conflict-free and business-preferred trajectories.
  • the ATC/ATM systems have to be able to independently build new trajectories that are compatible with user preferences and with the requirements of the Flight Management System (FMS) on board the aircraft.
  • FMS Flight Management System
  • ground-based operators and supporting automation tools can use the predictions issued by aircraft to organize the traffic, balance the traffic load among each control sector, anticipate the dynamic control sector segmentations and groupings, sequence the aircraft more effectively in the terminal procedures, and lastly be able to deploy an end-to-end ATM system (“4D” and “Gate to Gate” concepts).
  • TBO Trajectory Based Operations
  • the FMS uses a trajectory for closed-loop guidance by way of the automatic flight control system (AFCS).
  • AFCS automatic flight control system
  • the trajectory provides the information that is required for planning and for performing critical air traffic control and traffic flow management functions, such as: scheduling, conflict prediction, intra-sector hand off, separation management and conformance monitoring.
  • critical air traffic control and traffic flow management functions such as: scheduling, conflict prediction, intra-sector hand off, separation management and conformance monitoring.
  • Flight intent is primarily the information carried by the flight plan but it is insufficient for accurate synchronization because it does not contain enough information to build from it an unambiguous rendition of the flight path in 4D (i.e. multiple dissimilar trajectories can be generated from the same flight plan).
  • Aircraft intent-based trajectory synchronization relies on using the FMS provided AI so it lacks all of the knowledge available by the ground system.
  • Behavior Model data consists of a list of the maneuvers that the aircraft needs to execute in order to follow the flight plan, thus it is similar to aircraft intent data except that the information is expressed more abstractly. Synchronization using aircraft intent or behavior model data does not account for differences in weather forecast models and aircraft performance models, therefore could result in significantly different 4D predictions.
  • Predicted Trajectory synchronization consists of down-linking the FMS predicted 4D trajectory (for example via Automatic Dependent Surveillance-Contract (ADS-C) Extended Projected Profile (EPP) reports) and using it “as is” by the ground systems.
  • ADS-C Automatic Dependent Surveillance-Contract
  • EPP Extended Projected Profile
  • an apparatus and method to synchronize the distinct trajectories predicted by a flight management system and air navigation service provider A comparison model is generated that indicates differences between a Flight Management System (FMS) trajectory and a ground trajectory.
  • a new synchronized trajectory is generated that resolves identified discrepancies and restriction violations between the trajectories.
  • the synchronized trajectory is built first by resolving discrepancies in the converted route of flight (the 2D path along the Latitude and Longitude dimensions) and then, once 2D differences have been resolved, altitude and speed restriction compliances is verified. Upon successful resolution of 2D path discrepancies and restriction compliance violations, the synchronized trajectory is build by using the FMS trajectory as the basis.
  • FIG. 1 illustrates a practical application in accordance to an embodiment
  • FIG. 2 is a block diagram of a hardware and operating environment in which different embodiments can be practiced
  • FIG. 3 transaction flow diagram illustrating the manner in which the flight management system (FMS) and ATC computer of FIG. 1 cooperate to perform trajectory synchronization and exchange of data relating to a flight plan trajectory in accordance to an embodiment
  • FIG. 4 is a block diagram of a pre-departure trajectory synchronization in accordance to an embodiment
  • FIG. 5 is a block diagram of a in-flight trajectory synchronization in accordance to an embodiment.
  • FIG. 6 is a flowchart of a method for trajectory synchronization in accordance to an embodiment.
  • aspects of the disclosed embodiments relate to a method for trajectory synchronization comprising receiving a first trajectory from any system (but to facilitate the discussion it will be referred to as the aircraft trajectory, and could be for instance the 4D trajectory generated by the FMS on board the aircraft) and a ground trajectory from a second system comprising a series of points associated with various flight constraints for an aircraft; comparing the aircraft trajectory and the ground trajectory to detect discrepancies; verifying from the aircraft trajectory that a proposed flight plan complies with at least one aircraft restriction; and sending a message to the first system with instruction for correcting identified discrepancies and restriction violations from the comparing and the verifying of the aircraft trajectory and the ground trajectory.
  • the method further comprises receiving from the first system a four-dimensional trajectory comprising correction of the identified discrepancies and restriction violations.
  • the method further comprises receiving an updated ground trajectory after processing of the four-dimensional trajectory from the first system by the second system.
  • the method further comprises reconforming the updated ground trajectory if the aircraft has received a departure message or if the aircraft has received a sector crossing message (such as entry into the controlled airspace).
  • the method further comprises monitoring and updating the updated ground trajectory and the aircraft trajectory based on information pertaining to at least one of ground changes, change in environmental conditions.
  • comparing the aircraft trajectory and the ground trajectory to detect discrepancies is based on detecting discrepancies in latitude and longitude information.
  • the method further comprises wherein comparing is achieved with a cusp-to-cusp differencing algorithm (where a trajectory cusp or trajectory change point is any of the points defining the trajectory data structure).
  • the at least one aircraft restriction is selected from the group consisting of altitude restriction and speed restriction.
  • Still another aspects of the disclosed embodiments relate to a system for synchronizing distinct trajectories in airspace, the system comprising: a computer executing an interface to receiving an aircraft trajectory from a first system and a ground trajectory from a second system comprising a series of points associated with various flight constraints for an aircraft; and a processor and a memory coupled to the processor, wherein the memory comprises program instructions executable by the processor to: comparing the aircraft trajectory and the ground trajectory to detect discrepancies; verifying from the aircraft trajectory that a proposed flight plan complies with at least one aircraft restriction; wherein the computer executes a notification manager to send a message to the first system with instruction for correcting identified discrepancies restriction violations from the verifying and the comparing of the aircraft trajectory and the ground trajectory.
  • a non-transitory computer-readable medium having instructions that when compiled by a processor perform trajectory synchronization from a plurality of systems comprising: a computer-usable data carrier storing instructions, the instructions when executed by a computer causing the computer to perform trajectory synchronization by: comparing the trajectories to verify at least one route agreement for an aircraft; verifying from the trajectories that a proposed flight plan complies with at least one aircraft restriction; and
  • operator refers to an airline, a cargo operator, a business jet operation, or the pilot in single pilot operations.
  • ADS-C Automatic Dependent Surveillance-Contract
  • CPDLC Controller Pilot Data Link Communications
  • ARINC Radio frequency devices
  • microwave devices and/or the like.
  • Air Traffic Management ATM
  • Flight Management System FMS
  • Air Traffic Control ATC
  • En Route Automation Modernization EAM
  • Common Automated Radar Terminal System Common Automated Radar Terminal System
  • TBO Air Navigation Service Provider
  • SESAR US Next Generation Air Transport System
  • AFCS automatic flight control system
  • FLIPINT Flight Path Intent Service
  • FIG. 1 illustrates a practical application to synchronize distinct trajectories in accordance to an embodiment.
  • FIG. 1 diagrams the data collection, up-link/down-link, and trajectory synchronization of the invention.
  • the invention predominantly uses existing equipment.
  • an aircraft 50 creates an aircraft trajectory which is saved in a memory storage location (not shown) in the aircraft or in an external location.
  • a flight plan is made up of interlinked check points (or flight points). At each flight point, as far as the destination airport, the flight management system provides predictions: time of passage, speed, altitude, and fuel remaining on board.
  • the aircraft trajectory is down-linked via an antenna 162 to a ground station such as ATC 30 and ATM 40 where the aircraft trajectory can be synchronized or processed to be synchronized with other trajectories as shown in FIG. 3 .
  • Communication with originating aircraft 50 , other aircrafts, and other ground facilities is conducted via an up-link/down-link antenna 16 .
  • any communicative device such as for example any electronic signal transmitting and receiving device, may be used that enables ATC 30 system to function as described herein.
  • Flight Information Regions (FIR) and terminal region data is provided by the ATC 30 and ATM 40 , as part of the ATM data family, for different positions of the aircraft 50 relative to the airport 60 .
  • ATC 30 and ATM 40 comprise hardware and software that are well-known in the art.
  • Both ATC and ATM 40 includes a processor that is communicatively coupled to graphical display interface and is programmed to generate and relay trajectory predictions, flight plans, ground traffic instructions to ground-based, taxiing aircraft, and other communication well known to those in the art.
  • information such as aircraft specification data and airport runway and/or taxiway maps, is provided to the processor.
  • data is provided to processor from surface ground radar systems, as well as data from aircraft-based Automatic Dependent Surveillance-Broadcast (ADS-B) systems.
  • ADS-B Automatic Dependent Surveillance-Broadcast
  • any applicable information such as for example weather data from Automated Weather Observing System (AWOS) equipped units, may be provided to processor that may enable ATC system to function as described herein.
  • AWOS Automated Weather Observing System
  • FIG. 2 is a block diagram of hardware and operating environment in which different embodiments can be practiced.
  • An FMS computer 200 in aircraft 50 , conventionally comprises a central processing unit 202 which communicates with an input-output interface 215 , a program memory 206 , a working memory 204 , a data storage memory 206 , and circuits 210 for transferring data between these various elements.
  • the input-output interface is linked to various devices such as a user interface 219 , a board display (BD) 217 , sensors 221 , and other items well known to those in the art.
  • Programs instructions executable by the processor 202 specific to the aircraft are stored in the data memory 206 .
  • the program instructions are transferred to the working memory so as to produce an aircraft trajectory, to receive changes or messages with instructions as to changes, or to update the aircraft trajectory.
  • the FMS computer 200 is linked to a ground/onboard communication system 162 which is in turn linked to ATC 30 and ATM 40 via a communication link such as a C/P-DLC digital link 225 or Automatic Dependent Surveillance-Contract (ADS-C) link.
  • ATC 30 and ATM 40 via a communication link such as a C/P-DLC digital link 225 or Automatic Dependent Surveillance-Contract (ADS-C) link.
  • ADS-C Automatic Dependent Surveillance-Contract
  • FIG. 3 transaction flow diagram illustrating the manner in which the flight management system (FMS) 200 and ATC computer of FIG. 1 cooperate to perform trajectory synchronization and exchange of data relating to a flight plan trajectory in accordance to an embodiment.
  • FMS flight management system
  • ATC computer ATC computer of FIG. 1
  • synchronizer 307 need not be separate and distinct from both FMS 200 and ATC 30 . It is expected that synchronizer 307 would be in the same facility or it could be distributed between ATC 30 and FMS 200 . It is likewise possible that synchronizer 307 is in a remote location and that data is being exchange through a communication channel such as a satellite network.
  • the FMS 200 down-links to the synchronizer 307 an aircraft trajectory 315 ; the ATC 30 down links a ground trajectory 320 to the synchronizer 307 ; in step 325 verification of route agreement is made by comparing the aircraft trajectory 315 with the ground trajectory 320 ; in step 325 the synchronizer 307 does a verification of restriction compliance in the aircraft trajectory 315 ; the synchronizer 307 sends the FMS 200 instructions 330 to correct for discrepancies and violations detected in step 325 ; the FMS 200 applies the changes identified and generates 335 a four-dimensional trajectory (4DT) in space (latitude, longitude, altitude) and time; the 4DT is down linked to the synchronizer 307 ; The synchronizer in step 340 down links the 4DT to the ATC so as to provide the information needed on the ground for reconstruction of realistic alternative trajectories; in step 345 , the ATC 30 builds a trajectory using the 4DT cusps which is uploaded to the synchronizer 307 ; a mechanism is maintained
  • the trajectory comparison algorithm for step 325 should initially identifies differences in the 2D path as follows:
  • TCP trajectory change points
  • the disclosed embodiments may concern synchronizing the distinct trajectories predicted by the aircraft Flight Management System (FMS), the ground Air-Traffic Control (ATC) system and other Air Traffic Management (ATM) systems.
  • Previous trajectory synchronization approaches can be classified according to the type of data that is exchanged such as (a) Flight Intent, (b) Aircraft Intent (Al), (c) Behavior Model, or (d) Predicted Trajectory.
  • Flight intent may primarily be the information carried by the flight plan (FP) but it is insufficient for accurate synchronization because it does not contain enough information to build from it an unambiguous rendition of the flight path in four dimensions (4D) (i.e., multiple dissimilar trajectories can be generated from the same flight plan).
  • 4D four dimensions
  • Aircraft intent-based trajectory synchronization may rely on using the FMS provided AI that specifies the guidance modes and control instructions needed to build the 4D trajectory that executes the flight plan.
  • the ground system has more information than the FMS (i.e. restrictions and background traffic) and needs to work with a trajectory that reflects all of the knowledge available by the ground system; secondly, even though two trajectory predictors can start with the same AI inputs, differences in weather forecast models and aircraft performance models could result in significantly different 4D predictions.
  • the amount of AI data that must be exchanged to synchronize trajectories may also be prohibitive using existing data links. Similar drawbacks affect the recently proposed exchange of behavior model (i.e. list of maneuvers required to execute the flight plan) as a means for trajectory synchronization.
  • the fourth synchronization approach consisting of downlinking the FMS predicted 4D-trajectory and using it “as is” by the ground systems has the advantage that it may encode user preferences.
  • the disclosed embodiments may provide a process for trajectory synchronization based on sequential stages coordinated by the ground service provider (for instance ATC or traffic flow managers).
  • the following stages may describe the process for air-ground trajectory synchronization only (a similar process is used for ground-ground trajectory synchronization):
  • FIG. 4 and FIG. 5 the trajectory synchronization will be described using method language which is customarily found with reference to a flowchart that enables one skilled in the art to develop such programs, firmware, or hardware, including such instructions to carry out the methods on suitable computers, executing the instructions from computer-readable media. Therefore, although described in procedural terms, one of ordinary skill in the art will appreciate that implementations can be made using hardware components or any other design environment that provides the required relationships.
  • FIG. 4 is a block diagram of a pre-departure trajectory synchronization in accordance to an embodiment.
  • an initial trajectory request upon reception of the flight plan (FP) by the ground system and having reached a time which is a parameter number of minutes before the estimated departure time (if the flight is internal to the facility or the extended facility—i.e. the NAS—) or before the FIR crossing the ground system issues a trajectory request (TR) to the air system; the FMS trajectory may be down-linked to the ATC system.
  • ground TP builds 4DT from the FP.
  • the ANSP establishes ADS-C contract from in order to automatically obtain the 4DT objects created in the FMS.
  • the aircraft 50 builds a high fidelity trajectory from the FP and makes it available via ADS-C downlink to the ground systems.
  • the high fidelity trajectory of step 440 and the 4DT from the ground TP are verified.
  • step 450 verification of route agreement is made by comparing the FMS trajectory with the ground trajectory in order to detect discrepancies in the latitude and longitude information that defines the 2D route.
  • Trajectory comparison is done by a computer executing instructions that perform cusp-to-cusp differencing consisting of the following steps:
  • step 450 verification of restriction compliance is made by insuring that the FMS trajectory (aircraft trajectory) complies with altitude and speed restrictions.
  • step 460 instructions are assembled in order to correct for discrepancies detected in step 450 and restriction violations identified in step in step 450 ; this instructions may be communicated to the operator (pilot or Airline Operations Control Center AOCC) via established air-ground communication systems such as CPDLC.
  • step 470 the FMS system applies the changes identified in step 460 and produces a new FMS 4DT. This new 4DT is pushed to the ground system for processing. The air system down link the FMS trajectory to the ground system.
  • the ground receives from the aircraft (FMS) a four-dimensional trajectory (4DT) in space (latitude, longitude, altitude) and time.
  • 4DT four-dimensional trajectory
  • the main sources of discrepancies expected between the FMS-generated trajectory and the ATC-generated trajectory may be the rates of change in the altitude and speed during takeoff, initial climb, descent, final approach and landing (i.e. the vertical profile)
  • the downlink of the aircraft 4DT may provide the information needed on the ground for reconstruction of realistic alternative trajectories, if needed.
  • the ground system may build a trajectory using FMS trajectory cusps.
  • An approach to build the synchronized ground trajectory may be to insert cusps with the same geographic location, altitudes and times as those found in the FMS trajectory; two alternatives may be used to set the speeds and accelerations, depending on the available data in the FMS trajectory:
  • the ground computers in the ATC perform the following instructions to build a synchronized trajectory:
  • step 490 the trajectories are kept current, fresh, or updated through an updating module that performs the following steps:
  • Initial longitudinal (time) re-conformance as soon as the ground systems receive a departure or FIR crossing message, the ground trajectory may be longitudinally re-conformed (cusp times may be recomputed to be consistent with time information provided).
  • Conformance monitoring as the flight progresses, a number of situations may arise that result in loss of synchronization (for instance: change in runway assignment, unforeseen wind changes, errors in wind forecast, tactical intervention by the controller, weather reroutes, velocity variance due to cost index, etc.).
  • the ground system checks the sensed position reports provided by the surveillance system against the active trajectory and in cases of out of conformance detections, corrections may be applied to the active trajectory; this operation may entail a re-synch process consisting of the steps a through g above. Updating as a result of wind related forces.
  • trajectory synchronization is needed to compensate for wind conditions.
  • Air-ground wind model discrepancies may potentially be an additional source of significant errors leading to two type of problems: (1) a synchronized trajectory going out of conformance repeatedly in short time intervals, thus triggering multiple re-synch operations, and (2) an aircraft flying a conflict free synchronized trajectory encountering a real conflict (unpredicted because of wind discrepancies) in the future that will cause tactical intervention and thus nullify the benefits of synchronization (and possibly even introduce penalties).
  • Discrepancies in wind forecasts may result in invalid conflict probe predictions.
  • Using FMS wind data in the ground system may not be an option because conflict predictions of neighboring aircraft using different wind data would result in false or missed alerts.
  • Conflict probe may require the wind model to be consistently applied to all aircraft. If the wind data used by the FMS is made available as part of the FMS trajectory down-link (as provided in the ARINC® 702A specification), the ground system may check for consistency of wind models.
  • the ground system may assess the reliability of the wind data used by the FMS. Accordingly, if the ground systems deems that the wind data used by the FMS is stale or unreliable then the ground system may up-link new wind data to the aircraft to be used by the wind blending algorithms in the FMS; on the other hand if the wind data in the FMS is “fresh” and if there is a significant discrepancy (i.e. large relative to intrinsic wind models errors), then the ground system may add prediction buffers to account for larger prediction errors (conflict probe, for instance, can be performed adding a buffer to accommodate the uncertainty in speed).
  • FIG. 5 is a block diagram of a in-flight trajectory synchronization in accordance to an embodiment.
  • ANSP establishes ADS-C contract wherein ANSP starts with pre-departure synchronized trajectory.
  • surveillance data may also be captured to aid in trajectory creation.
  • ANSP detects critical event (take-off, facility entry, first surveillance report, top-of-climb reached, top-of-descent reached).
  • action 515 The information from action 515 is then used by action 580 so that ground TP can perform longitudinal (time) re-conformance of previously synchronized trajectory.
  • action 590 the re-conformance is used to verify compliance of trajectories. The result of the verification is sent to action 592 for further processing.
  • the initial trajectory, action 505 is sent from the aircraft 50 in accordance with the ADS-C contract request, other ground automation components that use the trajectory (action 535 - 545 ), and Air Traffic Service Provider (action 515 ).
  • the aircraft 50 performs processing of the initial trajectory to produce 4DT ADS-C periodic or on-demand report (Action 520 ), ADS-C event report (step 525 ), and clearance request (step 530 ).
  • step 535 the initial trajectory is used by a schedule management module to generate a meet time advisory.
  • step 540 the initial trajectory is used by a conflict prediction and resolution module to generate a conflict avoidance clearance or by a TFM to generate a new constraint.
  • step 545 the initial trajectory is used by a conformance monitoring function checks for deviations of flight from cleared path.
  • Steps 520 , 525 , 530 , 535 , 540 , 545 are processed in step 550 to determine a sync trigger event. If a sync triggering event is discovered in step 560 control is passed to action 560 for further processing.
  • step 560 Verify that FMS 4DT complies with ATC restrictions, verify that converted route of flight in FMS and ground TP agree, and ANSP coordinates clearance across ATC facilities. If the discrepancies are discovered in step 560 and 570 a message is generated requesting modification of the trajectory. Step 592 a messages to make corrections to FMS 4DT are generated and sent to aircraft in the event of discrepancies (step 560 ) or failure to verify compliance (step 590 ).
  • step 595 aircraft 50 applies changes and builds a new FMS 4DT and Aircraft 50 down-links FMS 4DT.
  • action 598 ground TP performs weather verification and ground TP builds synchronized trajectory from the FMS 4DT.
  • FIG. 6 is a flowchart of a method for trajectory synchronization in accordance to an embodiment.
  • Method 600 begins with step 610 where the trajectory synchronization module/system receives trajectories from and FMS and ATC.
  • the method in step 620 identifies discrepancies and restriction violations from the received trajectories.
  • a discovered discrepancy or violation from step 620 causes the method to assemble and generate instructions in step 630 .
  • action 640 instructions are applied and a new trajectory is created that remedy the discrepancies.
  • a 4D-trajectory (4DT) is generated.
  • the generated trajectory from step is propagated to or exchange with other systems (ATC, ATM, and etcetera) in step 660 .
  • the method waits for updates (triggering events) that would require changes to the 4DT of step 660 .
  • the Updates of step 670 are sent to 610 for further processing in accordance to method 600 .
  • Embodiments within the scope of the present disclosure may also include computer-readable media for carrying or having computer-executable instructions or data structures stored thereon.
  • Such computer-readable media can be any available media that can be accessed by a general purpose or special purpose computer.
  • Such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code means in the form of computer-executable instructions or data structures.
  • a network or another communications connection either hardwired, wireless, or combination thereof
  • any such connection is properly termed a computer-readable medium. Combinations of the above should also be included within the scope of the computer-readable media.
  • Computer-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions.
  • Computer-executable instructions also include program modules that are executed by computers in stand-alone or network environments.
  • program modules include routines, programs, objects, components, and data structures, etc. that perform particular tasks or implement particular abstract data types.
  • Computer-executable instructions, associated data structures, and program modules represent examples of the program code means for executing steps of the methods disclosed herein. The particular sequence of such executable instructions or associated data structures represents examples of corresponding acts for implementing the functions described in such steps.

Abstract

According to aspects of the embodiments, there is provided an apparatus and method to synchronize the distinct trajectories predicted by a flight management system and air navigation service provider. A comparison model is generated that indicates differences between an aircraft trajectory and a ground trajectory. The aircraft trajectory is updated to reflect identified discrepancies and restriction violations between the trajectories. Upon successful completion of the first designated change, a notification manager is used to issue a notification of the designated change to the flight plan trajectory. A modified ground trajectory is produced that incorporates the designated change to the flight plan trajectory. The comparison is repeated until the discrepancies of the trajectories are operationally insignificant.

Description

CROSS-REFERENCES TO RELATED APPLICATIONS
This application claims priority to U.S. Provisional Application No. 61/411,628, entitled “METHOD AND APPARATUS FOR AIR TRAFFIC TRAJECTORY SYNCHRONIZATION,” filed Nov. 9, 2010, by Sergio TORRES et al, the entire disclosure of which is incorporated herein by reference in its entirety.
This application is related to the following co-pending applications, which is hereby incorporated by reference in its entirety: “METHOD AND APPARATUS FOR DYNAMIC AIR TRAFFIC TRAJECTORY SYNCHRONIZATION”, U.S. Provisional Application No. 61/542,071, filed on 30 Sep. 2011, by David S. CHAN et al.
BACKGROUND
1. Field of the Disclosed Embodiments
The disclosure relates to air traffic trajectory synchronization, in particular to the synchronizing of distinct trajectories predicted by a plurality of systems.
2. Introduction
In trajectory based operations (TBO), air-ground and ground-ground interoperability and trajectory synchronization among the various systems is required since each of these systems rely on an accurate prediction of the flight path in four dimensions (4D trajectory or 4DT). Without proper synchronization, the Air Traffic Control (ATC) and Air Traffic Management (ATM) of the airspace is forced to add significant uncertainty into its prediction of the aircraft trajectory, thus decreasing the potential capacity of the available airspace and the efficiency of operations. The uncertainty that results from air-ground and ground-ground trajectory discrepancies also leads to non-optimal tactical intervention. The goal of air-ground (or ground-ground) trajectory synchronization is to produce trajectories in disparate systems whose discrepancies are operationally insignificant, increasing the likelihood of flying the planned conflict-free and business-preferred trajectories. In addition, if conditions change in the ground requiring alternative trajectories (i.e., projecting for conflict resolution or schedule management, for instance), then the ATC/ATM systems have to be able to independently build new trajectories that are compatible with user preferences and with the requirements of the Flight Management System (FMS) on board the aircraft.
In the field of flight management systems (FMSs), the technical problem to be solved is related to the use by the ground of predictions calculated by the FMS along the flight plan (location, altitude, speed, fuel, time of passage, for each point on the flight plan). In recent studies, it emerged that a significant improvement in capacity and safety for future ATM systems lay on the one hand in the collaboration between the Air Navigation Service Provider (ANSP) and onboard (aircraft) operators, in particular the synchronization of route and flight data, and on the other hand in the accuracy of the predicted trajectories.
The ground-based operators and supporting automation tools can use the predictions issued by aircraft to organize the traffic, balance the traffic load among each control sector, anticipate the dynamic control sector segmentations and groupings, sequence the aircraft more effectively in the terminal procedures, and lastly be able to deploy an end-to-end ATM system (“4D” and “Gate to Gate” concepts).
All these operations require both regular synchronization and precision in trajectory forecasts carried out on the ground and on board. One of the main challenges to Trajectory Based Operations (TBO) is interoperability and coordination among systems (air-ground and ground-ground). It is foreseen that a primary means to respond to this
Challenge is to provide a common view of operations as provided by synchronized trajectories. 4DTs provide the basis for both strategic planning and tactical operations, and as such they are key enablers of TBO. On board the aircraft, the FMS uses a trajectory for closed-loop guidance by way of the automatic flight control system (AFCS). In ground systems, the trajectory provides the information that is required for planning and for performing critical air traffic control and traffic flow management functions, such as: scheduling, conflict prediction, intra-sector hand off, separation management and conformance monitoring. With such a vast range of uses, the unique set of trajectory requirements (which at times may be contradictory) applicable to each function cannot be met in an efficient manner by simply sharing a common trajectory. A trajectory used to guide the aircraft requires a different level of fidelity than a trajectory used to estimate sector load in the ground a few hours into the future.
Previous studies identified various Trajectory Synchronization approaches, including: Flight Intent synchronization, Aircraft Intent (AI) synchronization, Behavior Model synchronization, Predicted Trajectory synchronization. Flight intent is primarily the information carried by the flight plan but it is insufficient for accurate synchronization because it does not contain enough information to build from it an unambiguous rendition of the flight path in 4D (i.e. multiple dissimilar trajectories can be generated from the same flight plan). Aircraft intent-based trajectory synchronization relies on using the FMS provided AI so it lacks all of the knowledge available by the ground system. Behavior Model data consists of a list of the maneuvers that the aircraft needs to execute in order to follow the flight plan, thus it is similar to aircraft intent data except that the information is expressed more abstractly. Synchronization using aircraft intent or behavior model data does not account for differences in weather forecast models and aircraft performance models, therefore could result in significantly different 4D predictions. The last approach, Predicted Trajectory synchronization consists of down-linking the FMS predicted 4D trajectory (for example via Automatic Dependent Surveillance-Contract (ADS-C) Extended Projected Profile (EPP) reports) and using it “as is” by the ground systems. This approach is limited by the fact that the FMS 4D trajectory is a prediction for current conditions and constraints only, and if conditions change in the ground that require building alternative trajectories the FMS 4D-trajectory has to be discarded and a completely new trajectory has to be built on the ground system, opening the possibility for breaking synchronization.
For the reasons stated above, and for other reasons stated below which will become apparent to those skilled in the art upon reading and understanding the present specification there is need in the art for a system and method that synchronizes trajectories from disparate systems.
SUMMARY
According to aspects of the embodiments, there is provided an apparatus and method to synchronize the distinct trajectories predicted by a flight management system and air navigation service provider. A comparison model is generated that indicates differences between a Flight Management System (FMS) trajectory and a ground trajectory. A new synchronized trajectory is generated that resolves identified discrepancies and restriction violations between the trajectories. The synchronized trajectory is built first by resolving discrepancies in the converted route of flight (the 2D path along the Latitude and Longitude dimensions) and then, once 2D differences have been resolved, altitude and speed restriction compliances is verified. Upon successful resolution of 2D path discrepancies and restriction compliance violations, the synchronized trajectory is build by using the FMS trajectory as the basis.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 illustrates a practical application in accordance to an embodiment;
FIG. 2 is a block diagram of a hardware and operating environment in which different embodiments can be practiced;
FIG. 3 transaction flow diagram illustrating the manner in which the flight management system (FMS) and ATC computer of FIG. 1 cooperate to perform trajectory synchronization and exchange of data relating to a flight plan trajectory in accordance to an embodiment;
FIG. 4 is a block diagram of a pre-departure trajectory synchronization in accordance to an embodiment;
FIG. 5 is a block diagram of a in-flight trajectory synchronization in accordance to an embodiment; and
FIG. 6 is a flowchart of a method for trajectory synchronization in accordance to an embodiment.
DETAILED DESCRIPTION OF THE DISCLOSED EMBODIMENTS
Additional features and advantages of the disclosure will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the disclosure. The features and advantages of the disclosure may be realized and obtained by means of the instruments and combinations particularly pointed out in the appended claims. These and other features of the present disclosure will become more fully apparent from the following description and appended claims, or may be learned by the practice of the disclosure as set forth herein.
Various embodiments of the disclosure are discussed in detail below. While specific implementations are discussed, it should be understood that this is done for illustration purposes only. A person skilled in the relevant art will recognize that other components and configurations may be used without parting from the spirit and scope of the disclosure.
Aspects of the disclosed embodiments relate to a method for trajectory synchronization comprising receiving a first trajectory from any system (but to facilitate the discussion it will be referred to as the aircraft trajectory, and could be for instance the 4D trajectory generated by the FMS on board the aircraft) and a ground trajectory from a second system comprising a series of points associated with various flight constraints for an aircraft; comparing the aircraft trajectory and the ground trajectory to detect discrepancies; verifying from the aircraft trajectory that a proposed flight plan complies with at least one aircraft restriction; and sending a message to the first system with instruction for correcting identified discrepancies and restriction violations from the comparing and the verifying of the aircraft trajectory and the ground trajectory.
In yet another aspect the disclosed embodiments the method further comprises receiving from the first system a four-dimensional trajectory comprising correction of the identified discrepancies and restriction violations.
In yet another aspect the disclosed embodiments the method further comprises receiving an updated ground trajectory after processing of the four-dimensional trajectory from the first system by the second system.
In yet another aspect the disclosed embodiments the method further comprises reconforming the updated ground trajectory if the aircraft has received a departure message or if the aircraft has received a sector crossing message (such as entry into the controlled airspace).
In yet another aspect the disclosed embodiments the method further comprises monitoring and updating the updated ground trajectory and the aircraft trajectory based on information pertaining to at least one of ground changes, change in environmental conditions.
In yet another aspect the disclosed embodiments wherein comparing the aircraft trajectory and the ground trajectory to detect discrepancies is based on detecting discrepancies in latitude and longitude information.
In yet another aspect the disclosed embodiments the method further comprises wherein comparing is achieved with a cusp-to-cusp differencing algorithm (where a trajectory cusp or trajectory change point is any of the points defining the trajectory data structure).
In yet another aspect the disclosed embodiments wherein the at least one aircraft restriction is selected from the group consisting of altitude restriction and speed restriction.
Still another aspects of the disclosed embodiments relate to a system for synchronizing distinct trajectories in airspace, the system comprising: a computer executing an interface to receiving an aircraft trajectory from a first system and a ground trajectory from a second system comprising a series of points associated with various flight constraints for an aircraft; and a processor and a memory coupled to the processor, wherein the memory comprises program instructions executable by the processor to: comparing the aircraft trajectory and the ground trajectory to detect discrepancies; verifying from the aircraft trajectory that a proposed flight plan complies with at least one aircraft restriction; wherein the computer executes a notification manager to send a message to the first system with instruction for correcting identified discrepancies restriction violations from the verifying and the comparing of the aircraft trajectory and the ground trajectory.
In still yet another aspect of the disclosed embodiments relate to a non-transitory computer-readable medium having instructions that when compiled by a processor perform trajectory synchronization from a plurality of systems comprising: a computer-usable data carrier storing instructions, the instructions when executed by a computer causing the computer to perform trajectory synchronization by: comparing the trajectories to verify at least one route agreement for an aircraft; verifying from the trajectories that a proposed flight plan complies with at least one aircraft restriction; and
Sending a message to at least one of the plurality of systems with instruction for correcting identified discrepancies and restriction violations from the verifying and the comparing of the trajectories.
The term “operator” as used herein refers to an airline, a cargo operator, a business jet operation, or the pilot in single pilot operations.
The term “communication”, or “message” as used herein refers communications through Automatic Dependent Surveillance-Contract (“ADS-C”), Controller Pilot Data Link Communications (“CPDLC”), ARINC devices, radio frequency devices, microwave devices, and/or the like.
Provided below is an example of acronyms found in trajectory synchronization: Air Traffic Management (ATM); Flight Management System (FMS); Air Traffic Control (ATC); En Route Automation Modernization (ERAM); Common Automated Radar Terminal System (Common ARTS); Trajectory Based Operations (TBO); Air Navigation Service Provider (ANSP); US Next Generation Air Transport System (NextGen); Single European Sky ATM Research (SESAR); 4D Trajectory for Data Link (4DTRAD); automatic flight control system (AFCS); Flight Path Intent Service (FLIPINT); 4-Dimensional Trajectory (4DT) in space (latitude, longitude, altitude) and time; message (Msg); Special Activities Airspace (SAA); Traffic Flow Management (TFM); Trajectory predictor (TP); Flight Information Region (FIR).
FIG. 1 illustrates a practical application to synchronize distinct trajectories in accordance to an embodiment. FIG. 1 diagrams the data collection, up-link/down-link, and trajectory synchronization of the invention. In a preferred embodiment, the invention predominantly uses existing equipment. For example, an aircraft 50 creates an aircraft trajectory which is saved in a memory storage location (not shown) in the aircraft or in an external location. A flight plan is made up of interlinked check points (or flight points). At each flight point, as far as the destination airport, the flight management system provides predictions: time of passage, speed, altitude, and fuel remaining on board. The aircraft trajectory is down-linked via an antenna 162 to a ground station such as ATC 30 and ATM 40 where the aircraft trajectory can be synchronized or processed to be synchronized with other trajectories as shown in FIG. 3. Communication with originating aircraft 50, other aircrafts, and other ground facilities is conducted via an up-link/down-link antenna 16. In an alternative embodiment, any communicative device, such as for example any electronic signal transmitting and receiving device, may be used that enables ATC 30 system to function as described herein.
The ground stations ATC 30 and ATM 40 could also communicate using a dedicated connection or through a network such as the interne. Additionally, Flight Information Regions (FIR) and terminal region data is provided by the ATC 30 and ATM 40, as part of the ATM data family, for different positions of the aircraft 50 relative to the airport 60. ATC 30 and ATM 40 comprise hardware and software that are well-known in the art. Both ATC and ATM 40 includes a processor that is communicatively coupled to graphical display interface and is programmed to generate and relay trajectory predictions, flight plans, ground traffic instructions to ground-based, taxiing aircraft, and other communication well known to those in the art. To enable processor to function as described herein, and in the exemplary embodiment, information, such as aircraft specification data and airport runway and/or taxiway maps, is provided to the processor. Moreover, data is provided to processor from surface ground radar systems, as well as data from aircraft-based Automatic Dependent Surveillance-Broadcast (ADS-B) systems. Alternatively, any applicable information, such as for example weather data from Automated Weather Observing System (AWOS) equipped units, may be provided to processor that may enable ATC system to function as described herein.
FIG. 2 is a block diagram of hardware and operating environment in which different embodiments can be practiced. An FMS computer 200, in aircraft 50, conventionally comprises a central processing unit 202 which communicates with an input-output interface 215, a program memory 206, a working memory 204, a data storage memory 206, and circuits 210 for transferring data between these various elements. The input-output interface is linked to various devices such as a user interface 219, a board display (BD) 217, sensors 221, and other items well known to those in the art. Programs instructions executable by the processor 202, specific to the aircraft are stored in the data memory 206. The program instructions are transferred to the working memory so as to produce an aircraft trajectory, to receive changes or messages with instructions as to changes, or to update the aircraft trajectory. The FMS computer 200 is linked to a ground/onboard communication system 162 which is in turn linked to ATC 30 and ATM 40 via a communication link such as a C/P-DLC digital link 225 or Automatic Dependent Surveillance-Contract (ADS-C) link.
FIG. 3 transaction flow diagram illustrating the manner in which the flight management system (FMS) 200 and ATC computer of FIG. 1 cooperate to perform trajectory synchronization and exchange of data relating to a flight plan trajectory in accordance to an embodiment. It should be noted that synchronizer 307 need not be separate and distinct from both FMS 200 and ATC 30. It is expected that synchronizer 307 would be in the same facility or it could be distributed between ATC 30 and FMS 200. It is likewise possible that synchronizer 307 is in a remote location and that data is being exchange through a communication channel such as a satellite network. The FMS 200 down-links to the synchronizer 307 an aircraft trajectory 315; the ATC 30 down links a ground trajectory 320 to the synchronizer 307; in step 325 verification of route agreement is made by comparing the aircraft trajectory 315 with the ground trajectory 320; in step 325 the synchronizer 307 does a verification of restriction compliance in the aircraft trajectory 315; the synchronizer 307 sends the FMS 200 instructions 330 to correct for discrepancies and violations detected in step 325; the FMS 200 applies the changes identified and generates 335 a four-dimensional trajectory (4DT) in space (latitude, longitude, altitude) and time; the 4DT is down linked to the synchronizer 307; The synchronizer in step 340 down links the 4DT to the ATC so as to provide the information needed on the ground for reconstruction of realistic alternative trajectories; in step 345, the ATC 30 builds a trajectory using the 4DT cusps which is uploaded to the synchronizer 307; a mechanism is maintained to continuously perform updates 360 so as to perform initial longitudinal (time)re-conformance, conformance monitoring, and wind synchronization which tend to change at least aircraft trajectory.
The trajectory comparison algorithm for step 325 should initially identifies differences in the 2D path as follows:
Identifies discrepancies in the 2D path between two trajectories
T1: trajectory 1; T2: trajectory 2
(i) Perpendicularly (or closest distance if perp. does not exist) project T1
cusps on T2 segments;
(ii) Perpendicularly (or closest distance if perp. does not exist) project T2
cusps on T1 segments;
(iii) Find E = the largest perpendicular separation distance between T1-
T2 (from previous steps);
If E < θ: trajectories are synchronized in the horizontal dimension
= threshold)
Else, list of distances di > θ are identified discrepancies
In step 345, the ATC 30 builds a trajectory using the 4DT cusps using an algorithm to build the ground trajectory using FMS trajectory change points (TCP):
1. Build a new trajectory appending segments constructed from cusp location
(Latitude, Longitude), altitude and time equal to those copied from the FMS
TCP
2. If the estimated error in the initial ground speed of the segment is larger
than a threshold (determined based on error propagation) then set the
segment acceleration to zero and the speeds to their implied value.
V g = L Δ T ROCD = Δ h Δ T where, Vg = ground speed L = segment length Δh = altitude change inside the segment ΔT = segment duration ROCD = rate of climb or descent
3. Else, compute segment acceleration constrained to leave cusp times
unchanged:
v 0 = v w + v TAS a = 2 L - v 0 Δ T Δ T 2 where a = acceleration L = segment length (along route distance) v0 = computed ground speed at the start of the segment vTAS = FMS speed (Mach or CAS) that applies to the start of the segment vw = component of wind velocity vector along the direction of the segment ΔT = segment duration
The Algorithm to build the ground trajectory using FMS trajectory change points (TCP) Thresholds & Errors can be express as follows:
1. In the zero acceleration assumption (constant implied speed) case, there
will be longitudinal errors that reach a maximum near the segment mid point
(by construction segment end points are constrained by TCPs). The errors
are present if the real acceleration (a) in the segment is not null.*
 VTAS and ROCD changes value during a constant Mach/CAS descent
or climb segment
By construction, cross-track errors are not expected (except for minor
distortion due to WGS84 geodesics vs. spherical earth modeling or
differences in the details of how turns are represented in the two systems)
The maximum longitudinal error grows with segment duration (ΔT):
ɛ x = a 8 Δ T 2 a = ground acceleration ( * ) ( * ) assumed to be null in the model , but non - zero in actuality .
2. Maximum longitudinal errors in the second case (implied constant
acceleration) due to jerk (the error arises due to assuming constant
acceleration when in reality it is not):
ɛ x = 2 b 81 Δ T 3 b = x ... ( 3 rd time derivative or jerk )
3. Longitudinal errors in the second case (implied constant acceleration) due
variance in v0:
ɛ x = ( Δ T 4 ) σ v σ v = error ( standard deviation ) in speed at start of the segment ( v 0 )
The disclosed embodiments may concern synchronizing the distinct trajectories predicted by the aircraft Flight Management System (FMS), the ground Air-Traffic Control (ATC) system and other Air Traffic Management (ATM) systems. Previous trajectory synchronization approaches can be classified according to the type of data that is exchanged such as (a) Flight Intent, (b) Aircraft Intent (Al), (c) Behavior Model, or (d) Predicted Trajectory. Flight intent may primarily be the information carried by the flight plan (FP) but it is insufficient for accurate synchronization because it does not contain enough information to build from it an unambiguous rendition of the flight path in four dimensions (4D) (i.e., multiple dissimilar trajectories can be generated from the same flight plan). Some attempts have been made to improve the near-range estimation capability of the ground-based systems based solely on the flight intent and tracking information, but more accurate levels of synchronization are achievable with better air-ground information exchange.
Aircraft intent-based trajectory synchronization may rely on using the FMS provided AI that specifies the guidance modes and control instructions needed to build the 4D trajectory that executes the flight plan. However, often times the ground system has more information than the FMS (i.e. restrictions and background traffic) and needs to work with a trajectory that reflects all of the knowledge available by the ground system; secondly, even though two trajectory predictors can start with the same AI inputs, differences in weather forecast models and aircraft performance models could result in significantly different 4D predictions.
The amount of AI data that must be exchanged to synchronize trajectories may also be prohibitive using existing data links. Similar drawbacks affect the recently proposed exchange of behavior model (i.e. list of maneuvers required to execute the flight plan) as a means for trajectory synchronization. The fourth synchronization approach, consisting of downlinking the FMS predicted 4D-trajectory and using it “as is” by the ground systems has the advantage that it may encode user preferences. However, this approach is limited by the fact that the FMS 4D-trajectory is a prediction for current conditions and constraints (flight points or trajectory change points) only, and if conditions change in the ground that require building alternative trajectories the FMS 4D-trajectory has to be discarded and a completely new trajectory has to be built in the ground, opening the possibility for breaking synchronization.
The disclosed embodiments may provide a process for trajectory synchronization based on sequential stages coordinated by the ground service provider (for instance ATC or traffic flow managers). The following stages may describe the process for air-ground trajectory synchronization only (a similar process is used for ground-ground trajectory synchronization):
In FIG. 4 and FIG. 5 the trajectory synchronization will be described using method language which is customarily found with reference to a flowchart that enables one skilled in the art to develop such programs, firmware, or hardware, including such instructions to carry out the methods on suitable computers, executing the instructions from computer-readable media. Therefore, although described in procedural terms, one of ordinary skill in the art will appreciate that implementations can be made using hardware components or any other design environment that provides the required relationships.
FIG. 4 is a block diagram of a pre-departure trajectory synchronization in accordance to an embodiment.
A. Pre-Departure/Pre-Flight Information Region (FIR) Crossing Phase:
In step 410, an initial trajectory request: upon reception of the flight plan (FP) by the ground system and having reached a time which is a parameter number of minutes before the estimated departure time (if the flight is internal to the facility or the extended facility—i.e. the NAS—) or before the FIR crossing the ground system issues a trajectory request (TR) to the air system; the FMS trajectory may be down-linked to the ATC system. In step 420, ground TP builds 4DT from the FP. In step 430 the ANSP establishes ADS-C contract from in order to automatically obtain the 4DT objects created in the FMS. In step 440 the aircraft 50 builds a high fidelity trajectory from the FP and makes it available via ADS-C downlink to the ground systems. In step 450, the high fidelity trajectory of step 440 and the 4DT from the ground TP are verified.
In step 450 verification of route agreement is made by comparing the FMS trajectory with the ground trajectory in order to detect discrepancies in the latitude and longitude information that defines the 2D route. Trajectory comparison is done by a computer executing instructions that perform cusp-to-cusp differencing consisting of the following steps:
  • (i) Selecting a portion (or one or more portions) of trajectory where synchronization is desired (the complete trajectory may not be subject to synchronization, for instance if the flight is leaving the controlled airspace); (ii) Calling T1 the FMS trajectory, calling T2 the ground trajectory; (iii) Traversing T1 in cusp order, for each cusp perpendicularly project the 2D position of the cusp on T2 (if there is no perpendicular projection then selecting the nearest point as the ‘projection’ point); (iv) Computing the 2D distance between the cusp and the projection point;
  • (a) If the distance is greater than a threshold, then flagging this cusp as discrepant;
  • (b) Repeating for all cusps of T1;
  • (c.) Repeating the above steps but his time traversing T2;
  • (d) Reporting the discrepant cusps.
Further in step 450, verification of restriction compliance is made by insuring that the FMS trajectory (aircraft trajectory) complies with altitude and speed restrictions.
In step 460, instructions are assembled in order to correct for discrepancies detected in step 450 and restriction violations identified in step in step 450; this instructions may be communicated to the operator (pilot or Airline Operations Control Center AOCC) via established air-ground communication systems such as CPDLC.
In step 470, the FMS system applies the changes identified in step 460 and produces a new FMS 4DT. This new 4DT is pushed to the ground system for processing. The air system down link the FMS trajectory to the ground system.
In step 480, the ground receives from the aircraft (FMS) a four-dimensional trajectory (4DT) in space (latitude, longitude, altitude) and time. Given that the main sources of discrepancies expected between the FMS-generated trajectory and the ATC-generated trajectory may be the rates of change in the altitude and speed during takeoff, initial climb, descent, final approach and landing (i.e. the vertical profile), the downlink of the aircraft 4DT may provide the information needed on the ground for reconstruction of realistic alternative trajectories, if needed.
Continuing with step 480, the ground system may build a trajectory using FMS trajectory cusps. An approach to build the synchronized ground trajectory may be to insert cusps with the same geographic location, altitudes and times as those found in the FMS trajectory; two alternatives may be used to set the speeds and accelerations, depending on the available data in the FMS trajectory: The ground computers in the ATC perform the following instructions to build a synchronized trajectory:
  • (1) Approximate the segments to be of constant speed as implied by the segment length and duration (the effective average ground speed is equal to the segment length divided by the segment duration); and
  • (2) Compute the acceleration based on the point and wind velocities provided in the FMS trajectory (for instance as specified in the ARINC® 702A standard). For each trajectory segment that is being built the acceleration a can be derived, assuming that it is constant, using the true air speed (TAS) at the beginning of the segment, the wind speed, the duration of the segment T and the length of the segment L: a=2*(L−v*T)/(T*T), where v is the ground speed computed as the vector sum of the true air speed and wind speed; alternatively (because the system is over-determined) the acceleration can be directly computed using the ground speed at the beginning of the segment v0, the ground speed at the end of the segment v1 and the duration of the segment T: a=(v1−v0)/T. If the acceleration is truly constant then these two are equivalent. The errors involved in these two approaches may depend on segment duration, therefore means should be provided to allow in step (d) above for the insertion of additional trajectory points (arbitrary Lat/Lon points) so that long segments in the FMS trajectory can be broken into smaller ones to maintain the required fidelity. Longitudinal prediction errors may grow with time and may have adverse effects in functions (such as conflict probe) that depend on trajectories, therefore: accuracy requirements for these functions may dictate the maximum tolerances allowed and in turn the maximum segment length. Segment duration T (or equivalent segment length) can be controlled to limit the size of the discrepancies between the ground trajectory and the FMS trajectory, specifically the maximum longitudinal error within a segment due to non-zero acceleration (b=change of acceleration within the segment) is equal to error=2*b*T*T*T/81; the maximum longitudinal error in a segment due to uncertainty in the air speed at the start of the segment (sv) is error=sv*T/4; the maximum ground speed error due to assuming constant acceleration when in reality it is not constant is error=b*T*T/6; similarly the error in altitude due to vertical acceleration (ah) is error=ah*T*T/8, T is segment duration.
The steps described below apply for trajectories that have already passed the first synchronization stage:
In step 490, the trajectories are kept current, fresh, or updated through an updating module that performs the following steps: Initial longitudinal (time) re-conformance: as soon as the ground systems receive a departure or FIR crossing message, the ground trajectory may be longitudinally re-conformed (cusp times may be recomputed to be consistent with time information provided). (i) Conformance monitoring: as the flight progresses, a number of situations may arise that result in loss of synchronization (for instance: change in runway assignment, unforeseen wind changes, errors in wind forecast, tactical intervention by the controller, weather reroutes, velocity variance due to cost index, etc.). For this reason, it may be necessary that the ground system checks the sensed position reports provided by the surveillance system against the active trajectory and in cases of out of conformance detections, corrections may be applied to the active trajectory; this operation may entail a re-synch process consisting of the steps a through g above. Updating as a result of wind related forces.
In step 490, trajectory synchronization is needed to compensate for wind conditions. Air-ground wind model discrepancies may potentially be an additional source of significant errors leading to two type of problems: (1) a synchronized trajectory going out of conformance repeatedly in short time intervals, thus triggering multiple re-synch operations, and (2) an aircraft flying a conflict free synchronized trajectory encountering a real conflict (unpredicted because of wind discrepancies) in the future that will cause tactical intervention and thus nullify the benefits of synchronization (and possibly even introduce penalties). Errors in wind data and discrepancies in wind models between air-ground systems may result in longitudinal errors (sx) that grow with prediction time (T) as sx=T sv, where sv=ground speed error and could become a significant source of error. Discrepancies in wind forecasts may result in invalid conflict probe predictions. Using FMS wind data in the ground system may not be an option because conflict predictions of neighboring aircraft using different wind data would result in false or missed alerts. Conflict probe may require the wind model to be consistently applied to all aircraft. If the wind data used by the FMS is made available as part of the FMS trajectory down-link (as provided in the ARINC® 702A specification), the ground system may check for consistency of wind models. If in addition to the FMS wind data there is also a wind model age (time since forecast was computed) or wind accuracy (figure of merit) information, the ground system may assess the reliability of the wind data used by the FMS. Accordingly, if the ground systems deems that the wind data used by the FMS is stale or unreliable then the ground system may up-link new wind data to the aircraft to be used by the wind blending algorithms in the FMS; on the other hand if the wind data in the FMS is “fresh” and if there is a significant discrepancy (i.e. large relative to intrinsic wind models errors), then the ground system may add prediction buffers to account for larger prediction errors (conflict probe, for instance, can be performed adding a buffer to accommodate the uncertainty in speed).
The disclosed embodiments meet the need in the art to provide a solution to the problems of conventional systems for the following reasons:
  • (a) The disclosed embodiments may take into account user preferences: by using the (restriction compliant and laterally synchronized) down-linked FMS trajectory to build the ground trajectory all of the optimization choices made by the FMS to build its own trajectory, may be automatically incorporated in the ground system (for instance if the FMS modeled an optimized descent, the vertical profile in the ground system may reflect such optimization).
  • (b) By exchanging a combination of aircraft intent (AI) data and trajectory data, the disclosed embodiments may solve the problems associated with the individual limitations associated with each one of these data items (as described in the previous item).
  • (c) The trajectory synchronization of the disclosed embodiments may be highly dynamic and thus allows for required adjustments that arise in realistic situations.
  • (d) The disclosed embodiments may build on current or planned technologies and concepts (CPDLC, data comm., ARINC 702A, RTCA SC-214, etc), and may thus allow for an initial implementation in a mixed equipage environment and a smooth evolution of the ATC system towards TBO.
FIG. 5 is a block diagram of a in-flight trajectory synchronization in accordance to an embodiment. In action 505, ANSP establishes ADS-C contract wherein ANSP starts with pre-departure synchronized trajectory.
In action 510, surveillance data may also be captured to aid in trajectory creation.
In action 515, ANSP detects critical event (take-off, facility entry, first surveillance report, top-of-climb reached, top-of-descent reached).
The information from action 515 is then used by action 580 so that ground TP can perform longitudinal (time) re-conformance of previously synchronized trajectory. In action 590, the re-conformance is used to verify compliance of trajectories. The result of the verification is sent to action 592 for further processing.
The initial trajectory, action 505, is sent from the aircraft 50 in accordance with the ADS-C contract request, other ground automation components that use the trajectory (action 535-545), and Air Traffic Service Provider (action 515).
The aircraft 50 performs processing of the initial trajectory to produce 4DT ADS-C periodic or on-demand report (Action 520), ADS-C event report (step 525), and clearance request (step 530).
In step 535, the initial trajectory is used by a schedule management module to generate a meet time advisory.
In step 540, the initial trajectory is used by a conflict prediction and resolution module to generate a conflict avoidance clearance or by a TFM to generate a new constraint.
In step 545, the initial trajectory is used by a conformance monitoring function checks for deviations of flight from cleared path.
Steps 520, 525, 530, 535, 540, 545 are processed in step 550 to determine a sync trigger event. If a sync triggering event is discovered in step 560 control is passed to action 560 for further processing.
In step 560, Verify that FMS 4DT complies with ATC restrictions, verify that converted route of flight in FMS and ground TP agree, and ANSP coordinates clearance across ATC facilities. If the discrepancies are discovered in step 560 and 570 a message is generated requesting modification of the trajectory. Step 592 a messages to make corrections to FMS 4DT are generated and sent to aircraft in the event of discrepancies (step 560) or failure to verify compliance (step 590).
In step 595, aircraft 50 applies changes and builds a new FMS 4DT and Aircraft 50 down-links FMS 4DT. In action 598, ground TP performs weather verification and ground TP builds synchronized trajectory from the FMS 4DT.
FIG. 6 is a flowchart of a method for trajectory synchronization in accordance to an embodiment. Method 600 begins with step 610 where the trajectory synchronization module/system receives trajectories from and FMS and ATC. The method in step 620 identifies discrepancies and restriction violations from the received trajectories. A discovered discrepancy or violation from step 620 causes the method to assemble and generate instructions in step 630. In action 640, instructions are applied and a new trajectory is created that remedy the discrepancies. In action 650, a 4D-trajectory (4DT) is generated. The generated trajectory from step is propagated to or exchange with other systems (ATC, ATM, and etcetera) in step 660. The method waits for updates (triggering events) that would require changes to the 4DT of step 660. The Updates of step 670 are sent to 610 for further processing in accordance to method 600.
Embodiments within the scope of the present disclosure may also include computer-readable media for carrying or having computer-executable instructions or data structures stored thereon. Such computer-readable media can be any available media that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code means in the form of computer-executable instructions or data structures. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or combination thereof) to a computer, the computer properly views the connection as a computer-readable medium. Thus, any such connection is properly termed a computer-readable medium. Combinations of the above should also be included within the scope of the computer-readable media.
Computer-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. Computer-executable instructions also include program modules that are executed by computers in stand-alone or network environments. Generally, program modules include routines, programs, objects, components, and data structures, etc. that perform particular tasks or implement particular abstract data types. Computer-executable instructions, associated data structures, and program modules represent examples of the program code means for executing steps of the methods disclosed herein. The particular sequence of such executable instructions or associated data structures represents examples of corresponding acts for implementing the functions described in such steps.
Although the above description may contain specific details, they should not be construed as limiting the claims in any way. Other configurations of the described embodiments of the disclosure are part of the scope of this disclosure. For example, the principles of the disclosure may be applied to each individual user where each user may individually deploy such a system. This enables each user to utilize the benefits of the disclosure even if any one of the large number of possible applications do not need the functionality described herein. In other words, there may be multiple instances of the components each processing the content in various possible ways. It does not necessarily need to be one system used by all end users. Accordingly, the appended claims and their legal equivalents should only define the disclosure, rather than any specific examples given.
The attached materials provide further details of the disclosure, as set forth below:

Claims (23)

What is claimed is:
1. A method for trajectory synchronization comprising:
receiving, with a processor, an aircraft trajectory for an aircraft in flight from a first system;
receiving, with the processor, a separate ground trajectory for the aircraft in flight from a second system, the separate ground trajectory comprising a series of points associated with various flight points or trajectory change points for; the aircraft in flight;
comparing, with the processor, the received aircraft trajectory and the received separate ground trajectory to detect discrepancies arising along a proposed route of flight for the aircraft in flight;
verifying, with the processor, that the proposed route of flight for the aircraft in fight complies with at least one aircraft restriction; and sending a message to the first system with instruction for correcting at least one of detected discrepancies and verified restriction violations arising from the comparing and the verifying constituting a synchronizing of the aircraft trajectory and the separate ground trajectory as a synchronized trajectory for the aircraft inflight.
2. The method of claim 1, further comprising:
receiving from the first system a four-dimensional trajectory comprising correction of the detected discrepancies and verified restriction violations.
3. The method of claim 2, further comprising:
receiving an updated separate ground trajectory from the second system after processing of the four-dimensional trajectory from the first system and generating a new synchronized trajectory for the aircraft in flight using trajectory change point attributes including one or more of Longitude, Altitude, Speed and Time obtained from the four-dimensional trajectory built in the first system.
4. The method in accordance to claim 3, the method further comprising:
reconforming the updated separate ground trajectory when the aircraft receives a departure message or when at least one of the first system and the second system receives a sector crossing message.
5. The method of claim 4, further comprising:
monitoring and updating the updated separate ground trajectory and the aircraft trajectory based on information pertaining to at least one of ground changes and changes in environmental conditions.
6. The method of claim 5, wherein the comparing the aircraft trajectory and the separate ground trajectory to detect discrepancies is based on detecting discrepancies in latitude and longitude information.
7. The method of claim 6, wherein the comparing is achieved with a cusp-to-cusp differencing algorithm.
8. The method of claim 7, wherein the at least one aircraft restriction is one of an altitude restriction and a speed restriction.
9. A system for synchronizing distinct trajectories in airspace, comprising:
a computer executing an interface to receive an aircraft trajectory for an aircraft in flight from a first system and a separate ground trajectory for the aircraft in flight from a second system , the separate ground trajectory comprising a series of points associated with various flight points or trajectory change points for the aircraft in flight; and
a processor and a memory coupled to the processor, the memory having stored program instructions executable by the processor to:
compare the received aircraft trajectory and the received separate ground trajectory to detect discrepancies arising along a proposed route of flight for the aircraft in flight;
verify that the proposed route of flight for the aircraft in flight complies with at least one aircraft restriction; and
execute a notification manager to send a message to the first system with instruction for correcting at least one of detected discrepancies and verified restriction violations arising from the comparing and the verifying constituting a synchronizing of the aircraft trajectory and the separate ground trajectory as a synchronized trajectory for the aircraft inflight.
10. The system of claim 9, the interface further receiving from the first system a four-dimensional trajectory comprising correction of the detected discrepancies and verified restriction violations.
11. The system of claim 10, the interface further receiving an updated separate ground trajectory from the second system after processing of the four-dimensional trajectory from the first system and generating a new synchronized trajectory for the aircraft in flight using trajectory change point attributes including one or more of Latitude, Longitude, Altitude, Speed and Time obtained from the four-dimensional trajectory built in the first system.
12. The system of claim 11, the processor further performing:
reconforming of the updated separate ground trajectory when the aircraft receives a departure message or when the aircraft receives a flight information sector crossing message.
13. The system of claim 12, the processor further performing:
monitoring and updating of the updated separate ground trajectory and the aircraft trajectory based on information pertaining to at least one of ground changes and changes in environmental conditions.
14. The system of claim 13, wherein the comparing the aircraft trajectory and the separate ground trajectory to detect discrepancies is based on detecting discrepancies in latitude and longitude information.
15. The system of claim 14, wherein the comparing is achieved with a cusp-to-cusp differencing algorithm.
16. The system of claim 15, wherein the at least one aircraft restriction is one of an altitude restriction and a speed restriction.
17. The system of claim 16, wherein the first system and the second system are separate one of a flight management system, an air-traffic control system, and an air traffic management system.
18. A non-transitory computer-readable medium having instructions that, when executed by a processor, cause the processor to perform a method for trajectory synchronization from a plurality of systems, the method comprising:
receiving an aircraft trajectory for an aircraft in flight from a first system;
receiving a separate ground trajectory for the aircraft in flight from a second system, the separate ground trajectory comprising a series of points associated with various flight points or trajectory change points for the aircraft in flight;
comparing the received aircraft trajectory and the received separate ground trajectory to verify at least one route agreement for the aircraft in flight as a synchronized trajectory;
verifying from the received aircraft trajectory and the received separate ground trajectory that a proposed route of flight complies with at least one aircraft restriction; and
sending a message to at least one of the plurality of systems with instruction for correcting at least one of detected discrepancies and verified restriction violations arising from the verifying and the comparing of the received aircraft trajectory and the received separate ground trajectory.
19. The non-transitory computer-readable medium of claim 18, wherein the comparing is achieved with a cusp-to-cusp differencing algorithm.
20. The non-transitory computer-readable medium of claim 19, the method further comprising causing the computer to receive from one of the plurality of systems a four-dimensional trajectory comprising correction of the detected discrepancies and the verified restriction violations.
21. The non-transitory computer-readable medium of claim 20, wherein the comparing the aircraft trajectory and the separate ground trajectory to detect discrepancies is based on detecting discrepancies in latitude and longitude information.
22. The non-transitory computer-readable medium of claim 21, wherein the at least one aircraft restriction is one of an altitude restriction and a speed restriction.
23. The non-transitory computer-readable medium of claim 22, the method further comprising monitoring and updating the separate ground trajectory and the aircraft trajectory based on information pertaining to at least one of ground changes and changes in environmental conditions.
US13/292,685 2010-11-09 2011-11-09 Method and apparatus for air traffic trajectory synchronization Active 2032-02-19 US8560148B2 (en)

Priority Applications (8)

Application Number Priority Date Filing Date Title
US13/292,685 US8560148B2 (en) 2010-11-09 2011-11-09 Method and apparatus for air traffic trajectory synchronization
PCT/US2012/058362 WO2013049851A2 (en) 2011-09-30 2012-10-01 Method and apparatus for dynamic air traffic trajectory synchronization
BR112014007596-4A BR112014007596B1 (en) 2010-11-09 2012-10-01 method to maintain the synchronization of the trajectory performed by an aircraft system, aircraft system, method performed for a terrestrial system to maintain the synchronization of the trajectory between an aircraft system and a system on the ground, and means accessible on a non-transitory machine
CA2850485A CA2850485C (en) 2011-09-30 2012-10-01 Method and apparatus for dynamic air traffic trajectory synchronization
CN201280057997.3A CN104246640B (en) 2011-09-30 2012-10-01 For the method and apparatus of dynamic air traffic trajectory synchronization
AU2012318234A AU2012318234A1 (en) 2011-09-30 2012-10-01 Method and apparatus for dynamic air traffic trajectory synchronization
EP12835104.6A EP2761381B1 (en) 2011-09-30 2012-10-01 Method and apparatus for dynamic air traffic trajectory synchronization
AU2017201498A AU2017201498B2 (en) 2011-09-30 2017-03-03 Method and apparatus for dynamic air traffic trajectory synchronization

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US41162810P 2010-11-09 2010-11-09
US13/292,685 US8560148B2 (en) 2010-11-09 2011-11-09 Method and apparatus for air traffic trajectory synchronization

Publications (2)

Publication Number Publication Date
US20120116614A1 US20120116614A1 (en) 2012-05-10
US8560148B2 true US8560148B2 (en) 2013-10-15

Family

ID=46020397

Family Applications (1)

Application Number Title Priority Date Filing Date
US13/292,685 Active 2032-02-19 US8560148B2 (en) 2010-11-09 2011-11-09 Method and apparatus for air traffic trajectory synchronization

Country Status (1)

Country Link
US (1) US8560148B2 (en)

Cited By (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130317670A1 (en) * 2012-05-24 2013-11-28 The Boeing Company Providing a description of aircraft intent
US20130317671A1 (en) * 2012-05-24 2013-11-28 The Boeing Company Providing a description of aircraft intent
US20130338909A1 (en) * 2012-05-25 2013-12-19 The Boeing Company Conflict Detection and Resolution Using Predicted Aircraft Trajectories
US20140324786A1 (en) * 2013-04-24 2014-10-30 The Boeing Company Anomaly detection in chain-of-custody information
US8965673B2 (en) 2012-05-25 2015-02-24 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US9053634B2 (en) 2012-05-25 2015-06-09 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US9087452B2 (en) 2012-05-25 2015-07-21 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US20160358481A1 (en) * 2015-06-08 2016-12-08 Honeywell International Inc. Flight management mode transitioning for aircraft trajectory management
US20170310749A1 (en) * 2016-04-25 2017-10-26 Honeywell International Inc. Methods and apparatus for flight briefing data synchronization
US9858825B2 (en) 2012-05-25 2018-01-02 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US9881504B2 (en) 2014-07-17 2018-01-30 Honeywell International Inc. System and method of integrating data link messages with a flight plan
US9950791B2 (en) 2016-03-08 2018-04-24 International Business Machines Corporation Drone receiver
US10013886B2 (en) 2016-03-08 2018-07-03 International Business Machines Corporation Drone carrier
US10062292B2 (en) 2016-03-08 2018-08-28 International Business Machines Corporation Programming language for execution by drone
US20180365265A1 (en) * 2017-06-16 2018-12-20 Thales Synchronization of a dual avionic and non-avionic system
US10330493B2 (en) 2014-12-03 2019-06-25 Honeywell International Inc. Systems and methods for displaying position sensitive datalink messages on avionics displays
US10417917B2 (en) 2016-03-08 2019-09-17 International Business Machines Corporation Drone management data structure
US10460608B2 (en) 2017-05-25 2019-10-29 Ge Aviation Systems Llc System and method for determining uncertainty in a predicted flight path for an aerial vehicle
US10460610B2 (en) 2016-09-30 2019-10-29 General Electric Company Aircraft profile optimization with communication links to an external computational asset
US10540900B2 (en) 2016-03-08 2020-01-21 International Business Machines Corporation Drone air traffic control and flight plan management
US10573186B2 (en) 2017-12-12 2020-02-25 Honeywell International Inc. System and method for monitoring conformance of an aircraft to a reference 4-dimensional trajectory
US10689107B2 (en) 2017-04-25 2020-06-23 International Business Machines Corporation Drone-based smoke detector
US20230282118A1 (en) * 2022-03-07 2023-09-07 Rockwell Collins, Inc. Communication management unit (cmu) based support for automated dependent surveillance-contract (ads-c) fulfillment

Families Citing this family (25)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8924137B2 (en) * 2011-09-30 2014-12-30 Lockheed Martin Corporation Method and apparatus for dynamic air traffic trajectory synchronization
US8818696B2 (en) * 2011-03-23 2014-08-26 Ge Aviation Systems Llc Method and system for aerial vehicle trajectory management
FR2983176B1 (en) 2011-11-29 2013-12-27 Airbus Operations Sas INTERACTIVE DIALOGUE DEVICE BETWEEN AN OPERATOR OF AN AIRCRAFT AND A GUIDE SYSTEM FOR SAID AIRCRAFT.
US9778659B2 (en) * 2012-09-10 2017-10-03 Trimble Inc. Agricultural autopilot steering compensation
FR3001066B1 (en) 2013-01-11 2015-02-27 Airbus Operations Sas SYSTEM FOR GUIDING ACTION ASSISTANCE TO BE CARRIED OUT BY AN OPERATOR ON AN AIRCRAFT.
US9177479B2 (en) * 2013-03-13 2015-11-03 General Electric Company System and method for determining aircraft operational parameters and enhancing aircraft operation
US9280904B2 (en) 2013-03-15 2016-03-08 Airbus Operations (S.A.S.) Methods, systems and computer readable media for arming aircraft runway approach guidance modes
FR3003971B1 (en) * 2013-03-28 2017-02-17 Airbus Operations Sas METHOD AND DEVICE FOR CALCULATING PREDICTIONS ON A FLIGHT PLAN OF AN AIRCRAFT
US9567099B2 (en) * 2013-04-11 2017-02-14 Airbus Operations (S.A.S.) Aircraft flight management devices, systems, computer readable media and related methods
EP2889579B1 (en) * 2013-12-31 2018-02-14 The Boeing Company System and method for defining and predicting aircraft trajectories
ES2590909T3 (en) * 2014-01-30 2016-11-24 The Boeing Company Method for modeling aircraft performance through adaptive aircraft performance models
KR101669856B1 (en) * 2014-11-27 2016-10-27 한국항공우주연구원 Method for Combining Fight Plan with Track Using Automatic Dependent Surveillance - Broadcast
CN106205221A (en) * 2015-01-07 2016-12-07 江苏理工学院 The airborne vehicle trajectory predictions method run based on 4D flight path
US10068488B2 (en) * 2015-04-30 2018-09-04 Ge Aviation Systems Llc Systems and methods of providing a data update to an aircraft
WO2017115807A1 (en) * 2015-12-28 2017-07-06 Kddi株式会社 Flight vehicle control device, flight permitted airspace setting system, flight vehicle control method and program
US9704406B1 (en) * 2016-03-08 2017-07-11 Rockwell Collins, Inc. Accurate determination of intended ground track with flight management system device and method
US11136044B2 (en) * 2016-12-13 2021-10-05 Hitachi Automotive Systems, Ltd. Vehicle control device
CN106846919A (en) * 2017-01-16 2017-06-13 南京航空航天大学 A kind of four-dimensional dynamic track prediction method based on ADS B information updatings
US10037704B1 (en) * 2017-02-01 2018-07-31 David Myr Automatic real-time air traffic control system and method for maximizing landings / takeoffs capacity of the airport and minimizing aircrafts landing times
US10043405B1 (en) * 2017-03-14 2018-08-07 Architecture Technology Corporation Advisor system and method
KR102249931B1 (en) * 2018-08-30 2021-05-10 한국항공우주연구원 Method and device of generating aircraft traffic management messages based in tracking
CN110555018B (en) * 2019-07-29 2021-12-17 浙江工业大学 Traffic flow completion and prediction method
CN112164248B (en) * 2020-11-12 2022-05-17 中国民航大学 Air traffic complexity evaluation method based on flight intention interactive relation
US20220306313A1 (en) * 2021-03-23 2022-09-29 Garmin International, Inc. Flight deck system for determining aircraft operating constraints
CN113885566B (en) * 2021-10-21 2024-01-23 重庆邮电大学 V-shaped track planning method oriented to minimization of data acquisition time of multiple unmanned aerial vehicles

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6043756A (en) 1998-02-09 2000-03-28 Alliedsignal Inc. Aircraft weather information system
US20040078136A1 (en) * 2002-10-22 2004-04-22 Cornell Bradley D. Tailored trajectory generation system and method
US7248949B2 (en) * 2004-10-22 2007-07-24 The Mitre Corporation System and method for stochastic aircraft flight-path modeling
US7277043B2 (en) 2004-11-24 2007-10-02 The Mitre Corporation Tactical aircraft check algorithm, system and method
US20080167885A1 (en) * 2007-01-10 2008-07-10 Honeywell International Inc. Method and system to automatically generate a clearance request to deivate from a flight plan
US7499771B2 (en) 2003-05-16 2009-03-03 Thales System for flight management
US7734457B2 (en) * 1999-10-16 2010-06-08 Computer Associates Think, Inc. Method and system for generating dynamic comparison models
US7835825B2 (en) 2006-12-21 2010-11-16 Thales Method for improving route and 4D prediction calculations by FMS for ATC tactical instructions
US7904213B2 (en) * 2006-03-14 2011-03-08 Thales Method of assisting in the navigation of an aircraft with an updating of the flight plan

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6043756A (en) 1998-02-09 2000-03-28 Alliedsignal Inc. Aircraft weather information system
US7734457B2 (en) * 1999-10-16 2010-06-08 Computer Associates Think, Inc. Method and system for generating dynamic comparison models
US20040078136A1 (en) * 2002-10-22 2004-04-22 Cornell Bradley D. Tailored trajectory generation system and method
US7499771B2 (en) 2003-05-16 2009-03-03 Thales System for flight management
US7248949B2 (en) * 2004-10-22 2007-07-24 The Mitre Corporation System and method for stochastic aircraft flight-path modeling
US7277043B2 (en) 2004-11-24 2007-10-02 The Mitre Corporation Tactical aircraft check algorithm, system and method
US7904213B2 (en) * 2006-03-14 2011-03-08 Thales Method of assisting in the navigation of an aircraft with an updating of the flight plan
US7835825B2 (en) 2006-12-21 2010-11-16 Thales Method for improving route and 4D prediction calculations by FMS for ATC tactical instructions
US20080167885A1 (en) * 2007-01-10 2008-07-10 Honeywell International Inc. Method and system to automatically generate a clearance request to deivate from a flight plan

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Klooster, J. et al; "Trajectory synchronization and negotiation in Trajectory Based Operations"; Digital Avionics Systems Conference (DASC), 2010 IEEE/AIAA 29th (Utah); Oct. 3-7, 2010, pp. 1.A.3-1-1.A.3-11.
Nilim, Arnab et al. "Trajectory-based Air Traffic Management (TB-ATM) under Weather Uncertainty." Proc of 4th USAEurope Air Traffic Management Research Development Seminar (2001) : 11 pages. Print.

Cited By (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8798813B2 (en) * 2012-05-24 2014-08-05 The Boeing Company Providing a description of aircraft intent
US20130317671A1 (en) * 2012-05-24 2013-11-28 The Boeing Company Providing a description of aircraft intent
US20130317670A1 (en) * 2012-05-24 2013-11-28 The Boeing Company Providing a description of aircraft intent
US8744649B2 (en) * 2012-05-24 2014-06-03 The Boeing Company Providing a description of aircraft intent
US9053634B2 (en) 2012-05-25 2015-06-09 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US8843302B2 (en) * 2012-05-25 2014-09-23 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US8965673B2 (en) 2012-05-25 2015-02-24 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US20130338909A1 (en) * 2012-05-25 2013-12-19 The Boeing Company Conflict Detection and Resolution Using Predicted Aircraft Trajectories
US9087452B2 (en) 2012-05-25 2015-07-21 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US9858825B2 (en) 2012-05-25 2018-01-02 The Boeing Company Conflict detection and resolution using predicted aircraft trajectories
US20140324786A1 (en) * 2013-04-24 2014-10-30 The Boeing Company Anomaly detection in chain-of-custody information
US9336248B2 (en) * 2013-04-24 2016-05-10 The Boeing Company Anomaly detection in chain-of-custody information
US9881504B2 (en) 2014-07-17 2018-01-30 Honeywell International Inc. System and method of integrating data link messages with a flight plan
US10330493B2 (en) 2014-12-03 2019-06-25 Honeywell International Inc. Systems and methods for displaying position sensitive datalink messages on avionics displays
US20160358481A1 (en) * 2015-06-08 2016-12-08 Honeywell International Inc. Flight management mode transitioning for aircraft trajectory management
US9711055B2 (en) * 2015-06-08 2017-07-18 Honeywell International Inc. Flight management mode transitioning for aircraft trajectory management
US9950791B2 (en) 2016-03-08 2018-04-24 International Business Machines Corporation Drone receiver
US10922983B2 (en) 2016-03-08 2021-02-16 International Business Machines Corporation Programming language for execution by drone
US10062292B2 (en) 2016-03-08 2018-08-28 International Business Machines Corporation Programming language for execution by drone
US10081425B2 (en) 2016-03-08 2018-09-25 International Business Machines Corporation Drone receiver
US11217106B2 (en) 2016-03-08 2022-01-04 International Business Machines Corporation Drone air traffic control and flight plan management
US11183072B2 (en) 2016-03-08 2021-11-23 Nec Corporation Drone carrier
US10417917B2 (en) 2016-03-08 2019-09-17 International Business Machines Corporation Drone management data structure
US11151885B2 (en) 2016-03-08 2021-10-19 International Business Machines Corporation Drone management data structure
US10013886B2 (en) 2016-03-08 2018-07-03 International Business Machines Corporation Drone carrier
US10540900B2 (en) 2016-03-08 2020-01-21 International Business Machines Corporation Drone air traffic control and flight plan management
US10899444B2 (en) 2016-03-08 2021-01-26 International Business Machines Corporation Drone receiver
US20170310749A1 (en) * 2016-04-25 2017-10-26 Honeywell International Inc. Methods and apparatus for flight briefing data synchronization
US10460610B2 (en) 2016-09-30 2019-10-29 General Electric Company Aircraft profile optimization with communication links to an external computational asset
US10689107B2 (en) 2017-04-25 2020-06-23 International Business Machines Corporation Drone-based smoke detector
US10460608B2 (en) 2017-05-25 2019-10-29 Ge Aviation Systems Llc System and method for determining uncertainty in a predicted flight path for an aerial vehicle
US20180365265A1 (en) * 2017-06-16 2018-12-20 Thales Synchronization of a dual avionic and non-avionic system
US10573186B2 (en) 2017-12-12 2020-02-25 Honeywell International Inc. System and method for monitoring conformance of an aircraft to a reference 4-dimensional trajectory
US20230282118A1 (en) * 2022-03-07 2023-09-07 Rockwell Collins, Inc. Communication management unit (cmu) based support for automated dependent surveillance-contract (ads-c) fulfillment

Also Published As

Publication number Publication date
US20120116614A1 (en) 2012-05-10

Similar Documents

Publication Publication Date Title
US8560148B2 (en) Method and apparatus for air traffic trajectory synchronization
AU2017201498B2 (en) Method and apparatus for dynamic air traffic trajectory synchronization
US7835825B2 (en) Method for improving route and 4D prediction calculations by FMS for ATC tactical instructions
JP6050591B2 (en) Method and system for managing air traffic
EP2587464B1 (en) Methods and systems for inferring aircraft parameters
JP6050592B2 (en) Method and system for managing air traffic
US11417222B2 (en) System and method for enhancing operator situational awareness of traffic diversion patterns and adapting thereto
US11257384B2 (en) Adaptive scheduling of flight trajectory commands for autonomous or remotely controlled air systems executing air traffic control flight clearances
JP2012174266A (en) Methods and systems for managing air traffic
CN104537895A (en) Method and device for achieving 4D track flight
WO2002099769A1 (en) Air traffic management system and method
Klooster et al. Trajectory synchronization and negotiation in Trajectory Based Operations
Geister et al. Density based management concept for urban air traffic
US9870712B1 (en) Time and spatial based flight selection system and method
Stouffer et al. Reliable, secure, and scalable communications, navigation, and surveillance (CNS) options for urban air mobility (UAM)
Torres et al. Trajectory synchronization between air and ground trajectory predictors
Vivona et al. Comparison of aircraft trajectory predictor capabilities and impacts on automation interoperability
Jackson et al. The 4D trajectory data link (4DTRAD) service-Closing the loop for air traffic control
US20220028283A1 (en) System and method for optimizing mission fulfillment by unmanned aircraft systems (uas) via dynamic atmospheric modeling
Filippone et al. Perspective and ATM Impact of Detect And Avoid Integration in Tactical and MALE RPAS
US20220383756A1 (en) System and method for flying aircraft relative to lead aircraft
Bronsvoort et al. Role of extended projected profile down-link to achieve trajectory synchronisation in support of trajectory based operations
Wilson et al. Six blind men and Trajectory based Operations
Saccone et al. Viability of the Use of Aircraft-generated Intent Data for Air Traffic Management
Paielli Trajectory Specification for Terminal Airspace

Legal Events

Date Code Title Description
AS Assignment

Owner name: GENERAL ELECTRIC COMPANY, NEW YORK

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:KLOOSTER, JOEL;REEL/FRAME:027201/0754

Effective date: 20111109

Owner name: LOCKHEED MARTIN CORPORATION, MARYLAND

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:TORRES, SERGIO;REEL/FRAME:027201/0688

Effective date: 20111107

STCF Information on status: patent grant

Free format text: PATENTED CASE

AS Assignment

Owner name: ABACUS INNOVATIONS TECHNOLOGY, INC., MARYLAND

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:LOCKHEED MARTIN CORPORATION;REEL/FRAME:039765/0714

Effective date: 20160816

AS Assignment

Owner name: LEIDOS INNOVATIONS TECHNOLOGY, INC., MARYLAND

Free format text: CHANGE OF NAME;ASSIGNOR:ABACUS INNOVATIONS TECHNOLOGY, INC.;REEL/FRAME:039808/0977

Effective date: 20160816

AS Assignment

Owner name: CITIBANK, N.A., DELAWARE

Free format text: SECURITY INTEREST;ASSIGNORS:VAREC, INC.;REVEAL IMAGING TECHNOLOGIES, INC.;ABACUS INNOVATIONS TECHNOLOGY, INC.;AND OTHERS;REEL/FRAME:039809/0634

Effective date: 20160816

Owner name: CITIBANK, N.A., DELAWARE

Free format text: SECURITY INTEREST;ASSIGNORS:VAREC, INC.;REVEAL IMAGING TECHNOLOGIES, INC.;ABACUS INNOVATIONS TECHNOLOGY, INC.;AND OTHERS;REEL/FRAME:039809/0603

Effective date: 20160816

FPAY Fee payment

Year of fee payment: 4

AS Assignment

Owner name: LEIDOS INNOVATIONS TECHNOLOGY, INC. (F/K/A ABACUS INNOVATIONS TECHNOLOGY, INC.), VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:051855/0222

Effective date: 20200117

Owner name: SYSTEMS MADE SIMPLE, INC., NEW YORK

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:051855/0222

Effective date: 20200117

Owner name: OAO CORPORATION, VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:051855/0222

Effective date: 20200117

Owner name: VAREC, INC., VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:051855/0222

Effective date: 20200117

Owner name: SYTEX, INC., VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:051855/0222

Effective date: 20200117

Owner name: REVEAL IMAGING TECHNOLOGY, INC., VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:051855/0222

Effective date: 20200117

Owner name: QTC MANAGEMENT, INC., CALIFORNIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:051855/0222

Effective date: 20200117

Owner name: LEIDOS INNOVATIONS TECHNOLOGY, INC. (F/K/A ABACUS INNOVATIONS TECHNOLOGY, INC.), VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:052316/0390

Effective date: 20200117

Owner name: REVEAL IMAGING TECHNOLOGY, INC., VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:052316/0390

Effective date: 20200117

Owner name: OAO CORPORATION, VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:052316/0390

Effective date: 20200117

Owner name: VAREC, INC., VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:052316/0390

Effective date: 20200117

Owner name: SYTEX, INC., VIRGINIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:052316/0390

Effective date: 20200117

Owner name: SYSTEMS MADE SIMPLE, INC., NEW YORK

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:052316/0390

Effective date: 20200117

Owner name: QTC MANAGEMENT, INC., CALIFORNIA

Free format text: RELEASE BY SECURED PARTY;ASSIGNOR:CITIBANK, N.A., AS COLLATERAL AGENT;REEL/FRAME:052316/0390

Effective date: 20200117

MAFP Maintenance fee payment

Free format text: PAYMENT OF MAINTENANCE FEE, 8TH YEAR, LARGE ENTITY (ORIGINAL EVENT CODE: M1552); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

Year of fee payment: 8