Distributed Air Traffic Flow Management

• US 20160104383A1
• Filed: 10/09/2015
• Published: 04/14/2016
• Est. Priority Date: 10/12/2014
• Status: Active Grant

• Current Assignee: Resilient Ops, Inc.
• Original Assignee: Resilient Ops, Inc.
• Inventors: Chandran, Bala, Balakrishnan, Hamsa
• Granted Patent: US 9,741,253 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/06313 Resource planning in a project environment
• CPC Class Codes: G08G 5/0034 Assembly of a flight plan
• CPC Class Codes: G08G 5/0039 Modification of a flight plan
• CPC Class Codes: G08G 5/0043 Traffic management of multiple aircrafts from the ground G08G5/003 takes precedence; data processing specially designed for resource management, e.g. scheduling or allocating time, human or machine resources G06Q10/06

Abstract

A price to utilize air-traffic resources is determined using a projected capacity for each air-traffic resource. The air-traffic resources include predefined geographic locations and future time periods. The price for a given air-traffic resource is based on the projected capacity of the given air-traffic resource. Data including the determined price is transmitted to each of a plurality of distributed computing systems to enable each of the distributed computing systems to independently determine, based on the price, proposed trajectories for one or more of the plurality of aerial vehicles. Data characterizing the proposed trajectories is received from the plurality of distributed computing systems. Whether the capacity required by the proposed trajectories in aggregate exceed the projected capacity for each of the plurality of air-traffic resources is determined using the proposed trajectories. Related apparatus, systems, techniques and articles are also described.

Claims

1. A method for implementation by at least one data processor forming part of at least one computing system, the method comprising:

first determining a price to utilize each of a plurality of air-traffic resources using data characterizing a projected capacity for each of a plurality of air-traffic resources, the plurality of air-traffic resources including predefined geographic locations and future time periods designated as available for use, the projected capacity for each of the plurality of air-traffic resources characterizing a maximum number of aerial vehicles allowed to utilize the air-traffic resource as a function of time, the price for a given air-traffic resource based on the projected capacity of the given air-traffic resource;

first transmitting data comprising the determined price to each of a plurality of distributed computing systems to enable each of the distributed computing systems to independently determine, based on the price, proposed trajectories for one or more of the plurality of aerial vehicles;

first receiving, from the plurality of distributed computing systems, data characterizing the proposed trajectories;

second determining, using the proposed trajectories, whether the capacity required by the proposed trajectories in aggregate exceed the projected capacity for each of the plurality of air-traffic resources;

third determining an updated price to utilize each of the plurality of air-traffic resources, the updated price for at least one of the air-traffic resources increasing when the proposed trajectories in combination exceed the projected capacity of the at least one of the air-traffic resources; and

second transmitting data comprising the determined updated price to each of the plurality of distributed computing systems to enable each of the distributed computing systems to independently determine, based on the updated price, updated proposed trajectories for one or more of the plurality of aerial vehicles

wherein one or more of the first determining, first transmitting, first receiving, second determining, third determining, and second transmitting are performed using at least one data processor.

2. The method of claim 1, wherein each proposed trajectory is determined by one of the plurality of distributed data processors independently from other trajectories.

3. The method of claim 1, further comprising:

determining, using at least one data processor, whether the proposed trajectories satisfy a criterion characterizing an optimal solution.

4. The method of claim 3, further comprising:

iteratively third determining the updated price, second transmitting the updated price to the plurality of the distributed computing systems, and second receiving the proposed trajectories until the proposed trajectories satisfy the criterion or until execution of a predetermined number of iterations.

5. The method of claim 1, further comprising:

associating, with each air-traffic resource, an uncertainty in capacity as a function of time, the uncertainty in capacity characterizing a variability of the maximum number of aerial vehicles allowed to utilize the air-traffic resource as a function of time;

generating, using the uncertainty in capacity for each air-traffic resource, a scenario tree characterizing possible scenarios and a likelihood of each of the possible scenarios occurring, each of the possible scenarios describing potential future capacity of the air-traffic resources according to a realization of uncertainty, the potential future capacity is of the air-traffic resources for the predefined geographic locations and the future time periods;

wherein the price is determined for each air-traffic resource and each scenario in the scenario tree.

6. The method of claim 5, further comprising:

receiving, from each of the plurality of distributed computing systems, a trajectory tree characterizing multiple possible geographic locations of one of the plurality of aerial vehicles at each of the future time periods corresponding to each possible scenario, the trajectory tree further characterizing actions for the one of the plurality of aerial vehicles to perform according to the realization of uncertainty.

7. The method of claim 5 wherein the uncertainty in capacity as a function of time is determined based on data received from an external source, the data including one or more of weather observations, weather forecasts, flight schedules, flight statuses, operational constraints, traffic management initiatives, and initial flight plans.

8. The method of claim 1 wherein the plurality of air-traffic resources are represented by nodes, arcs, and sectors,

the nodes corresponding to a region in airspace or a decision point;

the arcs connecting nodes and corresponding to a positive minimum transit time, maximum transit time, and cost as a function of transit time; and

each sector corresponding to a contiguous region of airspace and fully including one or more arcs.

9. The method of claim 1, wherein the price is a non-monetary characterization of an over-utilization or an under-utilization of a given air-traffic resource.

10. A non-transitory computer program product storing instructions, which when executed by at least one data processor of at least one computing system, implement a method comprising:

first determining a price to utilize each of a plurality of air-traffic resources using data characterizing a projected capacity for each of a plurality of air-traffic resources, the plurality of air-traffic resources including predefined geographic locations and future time periods designated as available for use, the projected capacity for each of the plurality of air-traffic resources characterizing a maximum number of aerial vehicles allowed to utilize the air-traffic resource as a function of time, the price for a given air-traffic resource based on the projected capacity of the given air-traffic resource;

first transmitting data comprising the determined price to each of a plurality of distributed computing systems to enable each of the distributed computing systems to independently determine, based on the price, proposed trajectories for one or more of the plurality of aerial vehicles;

first receiving, from the plurality of distributed computing systems, data characterizing the proposed trajectories;

second determining, using the proposed trajectories, whether the capacity required by the proposed trajectories in aggregate exceed the projected capacity for each of the plurality of air-traffic resources;

third determining an updated price to utilize each of the plurality of air-traffic resources, the updated price for at least one of the air-traffic resources increasing when the proposed trajectories in combination exceed the projected capacity of the at least one of the air-traffic resources; and

second transmitting data comprising the determined updated price to each of the plurality of distributed computing systems to enable each of the distributed computing systems to independently determine, based on the updated price, updated proposed trajectories for one or more of the plurality of aerial vehicles

wherein one or more of the first determining, first transmitting, first receiving, second determining, third determining, and second transmitting are performed using at least one data processor.

11. The computer program product of claim 10, wherein each proposed trajectory is determined by one of the plurality of distributed data processors independently from other trajectories.

12. The computer program product of claim 10, the method further comprising:

determining, using at least one data processor, whether the proposed trajectories satisfy a criterion characterizing an optimal solution.

13. The computer program product of claim 12, the method further comprising:

iteratively third determining the updated price, second transmitting the updated price to the plurality of the distributed computing systems, and second receiving the proposed trajectories until the proposed trajectories satisfy the criterion or until execution of a predetermined number of iterations.

14. The computer program product of claim 10, the method further comprising:

associating, with each air-traffic resource, an uncertainty in capacity as a function of time, the uncertainty in capacity characterizing a variability of the maximum number of aerial vehicles allowed to utilize the air-traffic resource as a function of time;

generating, using the uncertainty in capacity for each air-traffic resource, a scenario tree characterizing possible scenarios and a likelihood of each of the possible scenarios occurring, each of the possible scenarios describing potential future capacity of the air-traffic resources according to a realization of uncertainty, the potential future capacity is of the air-traffic resources for the predefined geographic locations and the future time periods;

wherein the price is determined for each air-traffic resource and each scenario in the scenario tree.

15. The computer program product of claim 14, the method further comprising:

receiving, from each of the plurality of distributed computing systems, a trajectory tree characterizing multiple possible geographic locations of one of the plurality of aerial vehicles at each of the future time periods corresponding to each possible scenario, the trajectory tree further characterizing actions for the one of the plurality of aerial vehicles to perform according to the realization of uncertainty.

16. The computer program product of claim 14 wherein the uncertainty in capacity as a function of time is determined based on data received from an external source, the data including one or more of weather observations, weather forecasts, flight schedules, flight statuses, operational constraints, traffic management initiatives, and initial flight plans.

17. The computer program product of claim 10 wherein the plurality of air-traffic resources are represented by nodes, arcs, and sectors,

the nodes corresponding to a region in airspace or a decision point;

the arcs connecting nodes and corresponding to a positive minimum transit time, maximum transit time, and cost as a function of transit time; and

each sector corresponding to a contiguous region of airspace and fully including one or more arcs.

18. The computer program product of claim 10, wherein the price is a non-monetary characterization of an over-utilization or an under-utilization of a given air-traffic resource.

19. A system comprising:

at least one data processor;

memory storing instructions which, when executed by the at least one data processor, causes the at least one data processor to perform operations comprising;

first determining a price to utilize each of a plurality of air-traffic resources using data characterizing a projected capacity for each of a plurality of air-traffic resources, the plurality of air-traffic resources including predefined geographic locations and future time periods designated as available for use, the projected capacity for each of the plurality of air-traffic resources characterizing a maximum number of aerial vehicles allowed to utilize the air-traffic resource as a function of time, the price for a given air-traffic resource based on the projected capacity of the given air-traffic resource;

first transmitting data comprising the determined price to each of a plurality of distributed computing systems to enable each of the distributed computing systems to independently determine, based on the price, proposed trajectories for one or more of the plurality of aerial vehicles;

first receiving, from the plurality of distributed computing systems, data characterizing the proposed trajectories;

second determining, using the proposed trajectories, whether the capacity required by the proposed trajectories in aggregate exceed the projected capacity for each of the plurality of air-traffic resources;

third determining an updated price to utilize each of the plurality of air-traffic resources, the updated price for at least one of the air-traffic resources increasing when the proposed trajectories in combination exceed the projected capacity of the at least one of the air-traffic resources; and

second transmitting data comprising the determined updated price to each of the plurality of distributed computing systems to enable each of the distributed computing systems to independently determine, based on the updated price, updated proposed trajectories for one or more of the plurality of aerial vehicles

wherein one or more of the first determining, first transmitting, first receiving, second determining, third determining, and second transmitting are performed using at least one data processor.

20. The system of claim 19, wherein each proposed trajectory is determined by one of the plurality of distributed data processors independently from other trajectories.