Solution Space Decision Support for Reducing Controller Workload in Route Merging Task

Velasco, G.A. Mercado; Borst, Clark; Paassen, M.M. van

doi:10.2514/1.c035852

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…A potentially more fruitful direction for adaptive systems is to support controllers with information integration, with full decision-making authority with the human. For example, visualizing functional constraints through an ecological interface design [42] or showing the separation monitor as an overview of conflicting aircraft pairs could be types of support that are less intrusive to decision-making and their success relies less on inferring intent.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of a Decision-Based Invocation Strategy for Adaptive Support for Air Traffic Control

IJtsma

Borst

Paassen

2022

IEEE Trans. Human-Mach. Syst.

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Air traffic controller workload is a limiting factor in the current air traffic management system. Adaptive support systems have the potential to balance controller workload and gain acceptance as they provide support during times of need. Challenges in the design of adaptive support systems are to decide when and how to trigger support. The goal of this study is to gain empirical insights into these challenges through a human-in-theloop experiment, featuring a simplified air traffic control environment in which a novel triggering mechanism uses the quality of the controller's decisions to determine when support is needed. The designed system seeks to prevent high workload conditions by providing resolution advisories when the controller exceeds a threshold of "self-complicating" decisions. Results indicate that the new system is indeed capable of increasing the efficiency and safety compared to full manual control without intervention. More adaptive support, however, increased the frustration of participants, decreased acceptance, and did not result in improved workload ratings. These findings suggest that, unless we can better infer human intent in complex work environments, adaptive support at the level of decision-making is problematic. A potentially more fruitful direction is to provide support at the level of information integration, with full decision-making authority with the human.

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Section: Discussionmentioning

confidence: 99%

Evaluation of a Decision-Based Invocation Strategy for Adaptive Support for Air Traffic Control

IJtsma

Borst

Paassen

2022

IEEE Trans. Human-Mach. Syst.

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“…Van Rooijen et al (2020) researched the critical elements to create an automation that offers advice to the ATCo to reduce the workload. Mercado Velasco et al (2020) developed an interface that provides decision support to reduce the workload of the ATCo in the Route Merging Task. A significant reduction in workload was observed with the interface.…”

Section: Literature Reviewmentioning

confidence: 99%

An algorithmic application with flexible airspace approach

Kökhan

Gökdalay

2023

AEAT

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Purpose The purpose of this study is to develop an operational level decision support system model for air traffic controllers (ATCos) within the framework of the Flexible Use of Airspace (FUA) concept to enable more efficient use of airspace capacity. This study produces a systematic solution to the route selection process so that the ATCo can determine the most efficient route with an operational decision support system model using Dijkstra’s Shortest Path Algorithm. Design/methodology/approach In this study, a new decision support system model for ATCos in decision-making positions was recommended and used. ATCos use this model as a main model for determining the shortest and safest route for aircraft as an operational-level decision support system. Dijkstra Algorithm, used in the model, is defined step by step and then explained with the pseudocode. Findings It has been determined that when the FUA concept and DSS are used while the ATCo chooses a route, significant fuel, time and capacity savings are achieved in flight operations. Emissions resulting from the negative environmental effects of air transportation are reduced, and significant capacity increase can be achieved. The operational level decision support system developed in the study was tested with 55 scenarios on the Ankara–Izmir flight route compared to the existing fixed route. The results for the proposed most efficient route were achieved at 11.22% distance (nm), 9.36%-time (min) savings and 837.71 kg CO2 emission savings. Originality/value As far as the literature is reviewed, most studies aimed at increasing airspace efficiency produce solutions that try to improve rather than replace the normal process. Considering the literature positioning of this study compared to other studies, the proposed model provides a new systematic solution to the problems that cause human-induced route inefficiency within the framework of the FUA concept.

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Interval Management Algorithm for Continuous Descent Operation of Commercial Aircraft to Reduce Human Workload and Localized Delay Propagation

Ishii,

Inoue,

Toratani

2024

Preprint

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Solution Space Decision Support for Reducing Controller Workload in Route Merging Task

Cited by 3 publications

References 31 publications

Evaluation of a Decision-Based Invocation Strategy for Adaptive Support for Air Traffic Control

Evaluation of a Decision-Based Invocation Strategy for Adaptive Support for Air Traffic Control

An algorithmic application with flexible airspace approach

Interval Management Algorithm for Continuous Descent Operation of Commercial Aircraft to Reduce Human Workload and Localized Delay Propagation

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