Distributed air-ground traffic management for en route flight operations

Green, Steve; Bilimoria, Karl D.; Ballin, Mark G.

doi:10.2514/6.2000-4064

Cited by 30 publications

(22 citation statements)

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“…This concept was developed as part of Distributed Air-Ground Traffic Management (DAG-TM), a project that explores use of new automation and communication technologies to modify the roles and responsibilities of NAS users and service providers. 1,2 The goal of DAG-TM is to facilitate user-preferred routing, increase system flexibility and capacity, and improve NAS operational efficiency by developing a concept that supports collaboration at all levels of traffic management decision-making. The DAG-TM concept leverages off technological and procedural innovations including communication, navigation, and surveillance / air traffic management (ATM) technologies; air and ground decision support tools (DSTs); and distributed separation responsibility.…”

Section: A Backgroundmentioning

confidence: 99%

A Human-in-the-Loop Evaluation of Air-Ground Trajectory Negotiation

Smith

Lee

Prevôt

et al. 2004

AIAA 4th Aviation Technology, Integration and Operations (ATIO) Forum

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Section: A Backgroundmentioning

confidence: 99%

A Human-in-the-Loop Evaluation of Air-Ground Trajectory Negotiation

Smith

Lee

Prevôt

et al. 2004

AIAA 4th Aviation Technology, Integration and Operations (ATIO) Forum

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“…These techniques enable optimal allocation of responsibilities, workload, and risk among all agents of air traffic systems. This allocation scheme proposes a decentralization of ATC system under which pilots are accorded more rights in determining their own coordinated trajectory [3][4]. As a result, a new operating concept, airborne separation assurance system (ASAS) [5][6] was introduced as a key feature in future decentralized ATC environments.…”

Section: Introductionmentioning

confidence: 99%

A time-optimal aircraft-following model based on Pontryagin’s minimum principle

Meng

Zhang

2011

J. Mod. Transport.

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A time-optimal aircraft-following model is introduced to address air traffic flow interference by velocity reduction. The objective function is set up as minimizing the recovery time during which the separation minima are not infringed and the separation of the air traffic flow returns to the initial separation at the terminal time. Pontryagin's minimum principle is used to solve the optimum aircraft-following velocity control law. An analytical minimum safe following separation is also provided under the time-optimal control law. The simulation results show that the precision first-order tracking accuracy is achieved without losing the separation.

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“…Enabling these capacity and cost gains depends on the ability of distributed actions to achieve overall ATM objectives such as maintaining safety and efficiency at acceptable levels. Several related NextGen concepts are being investigated, for example, delegating to the pilot more authority over the aircraft trajectory for separation assurance 3,4 and delegating more responsibility to airline operation centers for traffic flow management 5,6 . T Research on distributed ATM has focused on the investigation of sharing the primary function of separation assurance between pilots and controllers.…”

Section: Introductionmentioning

confidence: 99%

Trajectory Planning by Preserving Flexibility: Metrics and Analysis

Idris

El-Wakil

Wing

2008

AIAA Guidance, Navigation and Control Conference and Exhibit

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In order to support traffic management functions, such as mitigating traffic complexity, ground and airborne systems may benefit from preserving or optimizing trajectory flexibility. To help support this hypothesis trajectory flexibility metrics have been defined in previous work to represent the trajectory robustness and adaptability to the risk of violating safety and traffic management constraints. In this paper these metrics are instantiated in the case of planning a trajectory with the heading degree of freedom. A metric estimation method is presented based on simplifying assumptions, namely discrete time and heading maneuvers. A case is analyzed to demonstrate the estimation method and its use in trajectory planning in a situation involving meeting a time constraint and avoiding loss of separation with nearby traffic. The case involves comparing path-stretch trajectories, in terms of adaptability and robustness along each, deduced from a map of estimated flexibility metrics over the solution space. The case demonstrated anecdotally that preserving flexibility may result in enhancing certain factors that contribute to traffic complexity, namely reducing proximity and confrontation.

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Distributed air-ground traffic management for en route flight operations

Cited by 30 publications

References 0 publications

A Human-in-the-Loop Evaluation of Air-Ground Trajectory Negotiation

A Human-in-the-Loop Evaluation of Air-Ground Trajectory Negotiation

A time-optimal aircraft-following model based on Pontryagin’s minimum principle

Trajectory Planning by Preserving Flexibility: Metrics and Analysis

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