Developing ATC Automation in the Field: It Pays to Get Your Hands Dirty

Harwood, Kelly; Sanford, Beverly D.; Lee, Katharine K.

doi:10.2514/atcq.6.1.45

Cited by 6 publications

(3 citation statements)

References 6 publications

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“…Automation tools in ATC are designed or intended to assist controllers by reducing workload during peak periods of task load. For instance, automated functions predicting future air traffic events may facilitate a controller's decision making and decrease working memory demands (Harwood, Sanford, & Lee, 1998;Wickens, 1999). Empirical studies have shown that tools for conflict detection, resolution, and conformance monitoring have increased a controller's ability to manage ATC systems (Endsley & Rodgers, 1998;Metzger, Galster, & Parasuraman, 1999;Metzger & Parasuraman, 2001).…”

Section: Workloadmentioning

confidence: 99%

Human Factors Measurement for Future Air Traffic Control Systems

2009

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Section: Workloadmentioning

confidence: 99%

Human Factors Measurement for Future Air Traffic Control Systems

2009

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“…NASA's prior experience developing TMA-SC at Dallas-Ft. Worth International Airport (DFW) demonstrated the value of making the air traffic community-the eventual system operators-an integral part of the design and development team. 5 A similar approach has been adopted for TMA-MC, whereby researchers are teamed with a "cadre" of traffic management coordinators and sector controllers from each TMA-MC facility (i.e., ZBW, ZOB, ZNY, ZDC, and PHL Tracon). Researchers and cadre members collaborate to define the system requirements, critique the resulting design and, ultimately, evaluate system operation in the field.…”

Section: Approach and Methodsmentioning

confidence: 99%

A time-based approach to metering arrival traffic to Philadelphia

Parley

Foster

Hoang

et al. 2001

1st AIAA, Aircraft, Technology Integration, and Operations Forum

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Time-based metering via the Traffic Management Advisor (TMA) has significantly improved arrival operations at capacity-constrained airports in the western U.S. such as Dallas-Ft. Worth International Airport. Arrival flow management in the northeast corridor is in critical need of improvement to reduce the routine occurrence of airborne holding and in-trail spacing restrictions. However, the implementation and acceptance of time-based metering for a major airport in the tightly-constrained northeast corridor presents challenges beyond those encountered in other regions of the country. Research is underway at NASA Ames Research Center to identify these challenges, comprehend the underlying system dynamics, and develop requirements for a second-generation TMA system-the Multi-Center Traffic Management Advisor-intended to improve arrival operations at major airports in the northeast corridor. Philadelphia International Airport has been selected as the initial development and test site. Several research activities, including site visits and simulations, have identified four primary technical challenges of metering in this airspace: (1) an infrastructure that is inadequate for multi-facility coordination, (2) limited ability to absorb delay, (3) uncertain departure times of short-haul PHL arrivals, and (4) workload implications of converting from a miles-in-trail operation to a time-based metering operation. System requirements addressing these technical challenges are discussed.

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“…For their usability in air traffic control, convection cells were converted into timedependent 2D polygons, each with a fixed validity period. These were provided to an AMAN that assists approach controllers in organizing the airspace in the vicinity of airports as well as their surrounding sectors by suggesting approach routes, generating aircraft typespecific 4D trajectories, compiling approach sequences for each runway, and calculating overflight times for significant waypoints and runway thresholds [40]. The AMAN is adaptive, meaning that it can react to a changing traffic situation or weather conditions within a few seconds and adjust the proposed trajectories, sequences, and target times.…”

Section: Application Of Nowcasting To Air Traffic Controller Supportmentioning

confidence: 99%

Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management

et al. 2023

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Effective and time-efficient aircraft assistance and guidance in severe weather environments remains a challenge for air traffic control. Air navigation service providers around the globe could greatly benefit from specific and adapted meteorological information for the controller position, helping to reduce the increased workload induced by adverse weather. The present work proposes a radar-based nowcasting algorithm providing compact meteorological information on convective weather near airports for introduction into the algorithms intended to assist in air-traffic management. The use of vertically integrated liquid density enables extremely rapid identification and short-term prediction of convective regions that should not be traversed by aircraft, which is an essential requirement for use in tactical controller support systems. The proposed tracking and nowcasting method facilitates the anticipation of the meteorological situation around an airport. Nowcasts of centroid locations of various approaching thunderstorms were compared with corresponding radar data, and centroid distances between nowcasted and observed storms were computed. The results were analyzed with Method for the Object-Based Evaluation from the Model Evaluation tools software (MET-10.0.1, Developmental Testbed Center, Boulder, CO, US) and later integrated into an assistance arrival manager software, showing the potential of this approach for automatic air traffic assistance in adverse weather scenarios.

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Developing ATC Automation in the Field: It Pays to Get Your Hands Dirty

Cited by 6 publications

References 6 publications

Human Factors Measurement for Future Air Traffic Control Systems

Human Factors Measurement for Future Air Traffic Control Systems

A time-based approach to metering arrival traffic to Philadelphia

Application of Severe Weather Nowcasting to Case Studies in Air Traffic Management

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