Air traffic control complexity as workload driver

Djokic, Jelena; Lorenz, B.; Fricke, Hartmut

doi:10.1016/j.trc.2010.03.005

Cited by 78 publications

(47 citation statements)

References 5 publications

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“…Due to the difficulties to actually measure the impact on capacity [16][17][18][19], this metric will be interpreted in this paper according to the following categories:…”

Section: Tbo Compliant Performance Metricsmentioning

confidence: 99%

A Novel Performance Framework and Methodology to Analyze the Impact of 4D Trajectory Based Operations in the Future Air Traffic Management System

Ruiz

Leonés

Ranieri

2018

Journal of Advanced Transportation

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The introduction of new Air Traffic Management (ATM) concepts such as Trajectory Based Operations (TBO) may produce a significant impact in all performance areas, that is, safety, capacity, flight efficiency, and others. The performance framework in use today has been tailored to the operational needs of the current ATM system and must evolve to fulfill the new needs and challenges brought by the TBO content. This paper presents a novel performance assessment framework and methodology adapted to the TBO concept. This framework can assess the key performance areas (KPAs) of safety, capacity, and flight efficiency; equity and fairness are also considered in this research, in line with recent ATM trends. A case study is presented to show the applicability of the framework and to illustrate how some of the complex interdependencies among KPAs can be captured with the proposed approach. This case study explores the TBO concept of "strategic 4D trajectory deconfliction," where the early separation tasks of 4D trajectories at multisector level are assessed. The framework presented in this paper could potentially support the target-setting and performance requirements identification that should be fulfilled in the future ATM system to ensure determined levels of performance.

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“…Due to the difficulties to actually measure the impact on capacity [16][17][18][19], this metric will be interpreted in this paper according to the following categories:…”

Section: Tbo Compliant Performance Metricsmentioning

confidence: 99%

A Novel Performance Framework and Methodology to Analyze the Impact of 4D Trajectory Based Operations in the Future Air Traffic Management System

Ruiz

Leonés

Ranieri

2018

Journal of Advanced Transportation

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“…Hence, the overall plan of operations must take into account the different needs and points of view of the various stakeholders, see SESAR (2015). As a result, even when some decisions are supported by advisory systems, a significant part of the controller workload consists of manually coordinating arrivals, departures and other operations to ensure the global feasibility of the overall schedule, see Djokic et al (2010). Diffenderfer et al (2013) report on the current need of adding the computation of arrival and departure schedules to the functionalities of the systems dedicated to the support of traffic controllers, pointing out that main limitations of the current practice are related to a lack of precision in modeling safety separations between consecutive aircraft and a lack of coordination between arrival and departure operations.…”

Section: Introductionmentioning

confidence: 99%

Coordination of scheduling decisions in the management of airport airspace and taxiway operations

Samà

D’Ariano

Corman

et al. 2018

Transportation Research Part A: Policy and Practice

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This paper addresses the real-time problem of coordinating aircraft ground and air operations in an airport area. At a congested airport, airborne decisions are related to take-off and landing operations, while ground (taxiway) decisions consist of scheduling aircraft movements between the gates and the runways. Since the runways are the initial/terminal points of both decisions, coordinated actions have a great potential to improve the overall performance. However, in the traffic control practice the different decisions are taken by different controllers, at least in large airports. Weak coordination may result in long queues at the runways, with increasing aircraft delays and energy consumption. This paper investigates models, methods and policies for improving the coordination between taxiway scheduling and airborne scheduling. The performance of a solution is measured in terms of delay and travel time, the latter being related to the energy consumption of an aircraft. A microscopic mathematical formulation is adopted to achieve reliable solutions. Exact and heuristic methods have been analysed in combination with the different policies, based on practical-size instances from Amsterdam Schiphol airport, in the Netherlands. Computational experience shows that good quality solutions can be found within limited time, compatible with real-time operations.

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“…While there are procedures in place to limit traffic density becoming too great in any one sector, controllers also manage task demand by employing a range of strategies [4]. This behavior can be described by resource theory [5], which assumes that the human operator has a limited capacity of cognitive resources available to be allocated to a task.…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Workload and Performance in Air Traffic Control: Exploring the Influence of Levels of Automation and Variation in Task Demand

Edwards

Martin

Bienert

et al. 2017

Communications in Computer and Information Science

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Abstract.In an air traffic environment, task demand is dynamic. However, previous research has largely considered the association of task demand and controller performance using conditions of stable task demand. Further, there is a comparatively restricted understanding of the influence of task demand transitions on workload and performance in association with different types and levels of automation that are available to controllers. This study used an air traffic control simulation to investigate the influence of task demand transitions, and two conditions of automation, on workload and efficiency-related performance. Findings showed that both the direction of the task demand variation and the amount of automation influenced the relationship between workload and performance. Findings are discussed in relation to capacity and arousal theories. Further research is needed to enhance understanding of demand transition and workload history effects on operator experience and performance, in both air traffic control and other safety-critical domains.

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Air traffic control complexity as workload driver

Cited by 78 publications

References 5 publications

A Novel Performance Framework and Methodology to Analyze the Impact of 4D Trajectory Based Operations in the Future Air Traffic Management System

A Novel Performance Framework and Methodology to Analyze the Impact of 4D Trajectory Based Operations in the Future Air Traffic Management System

Coordination of scheduling decisions in the management of airport airspace and taxiway operations

The Relationship Between Workload and Performance in Air Traffic Control: Exploring the Influence of Levels of Automation and Variation in Task Demand

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