The Final Approach Spacing Tool

Davis, Thomas J.; Krzeczowski, K.; Bergh, C.

doi:10.1016/s1474-6670(17)45781-8

Cited by 54 publications

(13 citation statements)

References 1 publication

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“…Later, a prototype system known as passive FAST was developed and operationally tested at DFW TRACON. 10 Passive FAST advises landing sequence and runway assignment to balance runway loading and reduce inter-arrival spacing. Further NASA efforts are focused on the development of an enhanced version known as active FAST (aFAST).…”

Section: Previous Research and Developmentmentioning

confidence: 99%

Design Concept and Development Plan of the Expedite Departure Path (EDP)

Jung¹,

Isaacson²

2002

AIAA's Aircraft Technology, Integration, and Operations (ATIO) 2002 Technical Forum

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Air traffic management decision support tools have shown the capability to increase arrival traffic throughput of congested Terminal Radar Approach Control (TRACON) facilities without significantly impacting air traffic controller workload. NASA Ames Research Center, in cooperation with the Federal Aviation Administration (FAA), is playing a leading role in identifying air traffic management problems, developing and prototyping concepts, and performing field trials for such decision support tools. The Center-TRACON Automation System (CTAS) is a suite of decision support tools developed by NASA Ames Research Center, and is included in the FAA's Free Flight Program. This paper describes the concept and development plan of the Expedite Departure Path (EDP) component of CTAS. EDP is a decision support tool aimed at providing TRACON Traffic Management Coordinators (TMCs) with pertinent departure traffic loading and scheduling information, and radar controllers with advisories for tactical control of TRACON departure traffic. EDP employs the CTAS trajectory synthesis routine to provide conflict-free altitude, speed and heading advisories. These advisories will assist the TRACON departure controller in efficiently sequencing, spacing and merging departure aircraft into the en route traffic flow. The anticipated benefits of EDP include a reduction in airborne delay for departure aircraft, reduced fuel burn and reduced noise impact due to expedited climb trajectories. EDP will eventually share information with both surface and arrival decision support tools to form an integrated decision support system capable of planning, coordinating and executing highly efficient terminal airspace operations.

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Section: Previous Research and Developmentmentioning

confidence: 99%

Design Concept and Development Plan of the Expedite Departure Path (EDP)

Jung¹,

Isaacson²

2002

AIAA's Aircraft Technology, Integration, and Operations (ATIO) 2002 Technical Forum

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“…A number of researchers and air navigation service providers hypothesize that the inclusion of CDR tools into air traffic control systems will reduce or transform controller workload by decreasing the amount of time and mental effort that air traffic controllers spend resolving conflicts [6]- [9]. Unfortunately, many of the CDR algorithms attempt to replace air traffic controllers, moving them from their current tactical role to a more strategic traffic flow management role.…”

Section: Introductionmentioning

confidence: 99%

Formulation of Reduced-Taskload Optimization Models for Conflict Resolution

Vela

Feigh

Solak

et al. 2012

IEEE Trans. Syst., Man, Cybern. A

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This paper explores methods to include aspects of controller taskload into conflict-resolution programs through a parametric approach. We are motivated by the desire to create conflict-resolution decisionsupport tools that operate within a human-in-the-loop control architecture by actively accounting for, and moderating, controller taskload. Specifically, we introduce two conflict-resolution programs with the objective of managing controller conflict-resolution taskload, i.e., the number of maneuvers used to separate air traffic. Managing conflict-resolution taskload is accomplished by penalizing aircraft maneuvers through their L 1 norm in the cost function or constraining the number of maneuvers directly. Analysis of the programs reveals that both approaches are successful at managing controller conflict-resolution taskload and minimizing fuel burn. Directly constraining conflict-resolution taskload is more successful at minimizing the variation in the number of aircraft maneuvers issued and returning the aircraft to their desired exit point. Penalizing maneuvers through L 1 norm costs is more successful at reducing controller conflict-resolution taskload at lower traffic volumes. Ultimately, results demonstrate that the inclusion of such parametric models can successfully regulate controller conflict-resolution taskload.

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“…At the core of these concepts is the Center TRACON Automation System (CTAS), which is comprised of legacy software that has had many successes. 1,2,3,4 Unfortunately, this legacy software has become increasingly difficult to maintain and extend. For example, in order to rapidly prototype the initial en route conflict detection functionality, developers reused runway sequencing software written for the terminal area.…”

Section: Introductionmentioning

confidence: 99%

“…For example, in order to rapidly prototype the initial en route conflict detection functionality, developers reused runway sequencing software written for the terminal area. 4 At that time, software efficiency was a high priority due to limitations in computer hardware performance, while data integrity and software maintenance issues had less importance. 5 As the next generation air traffic management (ATM) research requirements are being defined however, it is clear that the CTAS en route conflict detection and resolution software must handle increased algorithmic complexity without sacrificing software reliability if it is to form the basis for future technologies.…”

Section: Introductionmentioning

confidence: 99%

Design of a Research Platform for En Route Conflict Detection and Resolution

Murphy¹,

Robinson²

2007

7th AIAA ATIO Conf, 2nd CEIAT Int'l Conf on Innov and Integr in Aero Sciences,17th LTA Systems Tech Conf; Followed by 2nd TEOS

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This paper describes the process of designing a software tool for testing en route air traffic management decision support tool functionalities in a research environment. This effort focused on the development of a scalable, low maintenance software application to replace a legacy en route conflict prediction tool. Previous development efforts provided the lessons learned that guided the development of the new en route conflict prediction tool. This new tool met near term functional requirements while allowing flexibility to support future research objectives both inside and outside of the en route domain. The software process encouraged incremental prototyping and short development intervals. The development team used best practices to increase the reliability and maintainability of the software. The tool was also ported to multiple hardware and operating system platforms to further increase its scalability. When compared to the legacy en route conflict prediction tool, the new application had seven times fewer highly complex functions, while maintaining data integrity to ensure consistent predictions.

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The Final Approach Spacing Tool

Cited by 54 publications

References 1 publication

Design Concept and Development Plan of the Expedite Departure Path (EDP)

Design Concept and Development Plan of the Expedite Departure Path (EDP)

Formulation of Reduced-Taskload Optimization Models for Conflict Resolution

Design of a Research Platform for En Route Conflict Detection and Resolution

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