Validating Sectorless ATM in the Hungarian Airspace: Results of Human in the Loop Simulations

Korn, Bernd; Mollwitz, Vilmar; Finck, Tobias; Edinger, Christiane

doi:10.1109/icns50378.2020.9223018

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…The body of literature on CD&R automation is too large to discuss here but recent examples include the development of controller assistance tools (CATO) [17] and conflict resolution tools for flight-centric ATC [18], [19]. These tools provide automation support at the level of information acquisition and integration.…”

Section: A Automation Support For Conflict Detection and Resolution (...mentioning

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: A Automation Support For Conflict Detection and Resolution (...mentioning

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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“…[4]). The validation scenarios show only slight improvements over the current procedures [5]. Especially for more complex traffic scenarios, a higher workload is to be expected despite support functions provided by the advanced design of the controller working position [6].…”

Section: Introductionmentioning

confidence: 99%

Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models

Itoh,

Tominaga,

Schultz

et al. 2023

Aerospace

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Free route airspace allows airspace users to freely plan a route in en-route airspaces within certain restrictions. It is anticipated to offer the benefit of fuel saving and operational flexibility. Regarding its efficient implementation into the ASEAN airspace, the key challenge would be reducing hotspots with clusters of potential conflicts. This paper designed a time-varying queuing network model, which contributed to untangle trajectory complexity in the most congested hotspot area. A series of fast-time simulation experiments were conducted to identify hotspots in en-route airspace in Singapore FIR. The application of departure time control using time-varying queuing networks successfully reduced up to 45% of potential conflicts. This was achieved within an average delay of 30 min by controlling time of less than 60% of candidate flights. The original contribution of this paper is to develop a novel modeling and simulation framework for composing ideal air traffic patterns. Lastly, we discussed the extension of this study toward a generalized application of the proposed approach in future air traffic management.

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“…Firstly, the question of who should be responsible for solving a conflict when the involved flights are directed by different agents. Research on flight-centric operations (also known as sectorless operation), where ATCOs are responsible for flights from start to finish rather than based on geographical sectors, seems to focus on allocating such mixed conflicts to either ATCO, based on pre-determined (conflict) criteria [11] or ATCO workload [12]. When one of the flights is instead directed by a computer under the supervision of the ATCO controlling the other flight, a different approach may be more beneficial.…”

Section: Introductionmentioning

confidence: 99%

Towards Human-Automation Teamwork in Shared En-Route Air Traffic Control: Task Analysis

Rooij

Tisza²,

Borst

et al. 2022

2022 IEEE 3rd International Conference on Human-Machine Systems (ICHMS)

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In the quest for more efficient air traffic management, a common approach is to allocate an increasing amount of functionality to higher levels of automation, with a supervisory role for humans. This potentially leads to forthcoming issues such as skill degradation and out-of-the-loop phenomenon. If the traffic in an airspace is instead shared between a human operator and an automated system, with specific flights fully delegated to automation, operators can maintain their skills and stay actively involved in controlling the rest of the traffic. This does, however, lead to new forms of mixed conflicts, where two flights are controlled by different agents. A smart flight allocation strategy, starting with the delegation of basic flights requiring little monitoring or cognitive effort, is expected to improve combined human-automation performance. In this paper, we present flowcharts to model en-route air traffic controller cognitive think and action processes in two core tasks: conflict detection and resolution. We qualitatively describe the impact of delegating flights to automation and the associated introduction of mixed conflicts. Once empirically validated and quantified in follow-up research, these models can be used to design flight allocation strategies for future human-automation teams.

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Validating Sectorless ATM in the Hungarian Airspace: Results of Human in the Loop Simulations

Cited by 6 publications

References 12 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

Untangling Complexity in ASEAN Air Traffic Management through Time-Varying Queuing Models

Towards Human-Automation Teamwork in Shared En-Route Air Traffic Control: Task Analysis

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