Using air traffic control taskload measures and communication events to predict subjective workload.

Manning, Carol A.; Mills, Scott H.; Fox, C; Pfleiderer, Elaine M.; Mogilka, H J

doi:10.1037/e430162004-001

Cited by 22 publications

(13 citation statements)

References 8 publications

(12 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Variables, like the amount of traffic or radio communication times, correlate with the psychological construct workload (cf. [13]) and can be represented with the fast time simulation models. However, for different work environments the FTS data are not sufficient to make reliable conclusions on the operators' workload (e.g.…”

Section: Introductionmentioning

confidence: 99%

An approach to support controller work-place design in a multi-airport environment using fast and real-time simulations

et al. 2011

View full text Add to dashboard Cite

The DLR Institute of Flight Guidance is one of the leading establishments in the field of air traffic management research worldwide. Research is conducted using different simulation models. The fast time simulation tools (e.g. Simmod, AirTOp, etc.) offer the possibility to examine various aspects of the air traffic in short evaluation cycles. Especially long lasting, complex traffic flows can be well analysed with the help of these tools. In contrast to the fast time simulation tools, the real time simulation facilities operated by the Institute allow the so-called human-in-the-loop research. For instance, the Apron-and Tower Simulator (ATS) emulates the air traffic controller's working environment at the airport. Within this environment, the impact of new concepts on the controllers can be examined. The influence of different traffic scenarios, additional assistant systems, work organization and the design of workplaces on controllers' task-and workload can be researched in this way. Inside the ''Deutsches Zentrum für Luft-und Raumfahrt'' (DLR) project Remote Airport Traffic Control Center (RAiCe), an approach was developed to combine both types of the described simulation models. Therefore, the fast time simulation was enhanced with elements representing typical tasks of a controller (e.g. separation keeping or radio communication). By this approach, it was possible to preselect appropriate traffic scenarios and to determine special traffic events. At the ATS, air traffic controllers were confronted with the selected scenarios and events. Based on their performance, conclusions concerning different remote tower operation concepts were made. Within this paper, the cooperative use of fast and real time simulation is reviewed. A five step cooperative strategy is suggested to allow for efficient scenario design that enables the validation expert to design scenarios with specific traffic situations using a fast time simulation tool. Furthermore, harmonizing fast and real time simulation offers the possibility to use data of the fast time simulation as scenarios for real time simulations, and real time simulations can be used for the validation of fast time simulation models. Data of the simulations within RAiCe are introduced. The application of the cooperative use of fast and real time simulation for validation of future ATM concepts is indicated.

show abstract

Section: Introductionmentioning

confidence: 99%

An approach to support controller work-place design in a multi-airport environment using fast and real-time simulations

et al. 2011

View full text Add to dashboard Cite

show abstract

“…Hence, no mathematical models can be produced for this specification. The literature in this field is mostly related to the analysis of the factors which affect the com-plexity of the controller's task, and on their impact on the controller's workload (Hinston et al, 2002;Manning et al, 2002).…”

Section: Capacity Specificationmentioning

confidence: 99%

Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation

Pellegrini

Rodríguez

2013

Transportation Research Part A: Policy and Practice

View full text Add to dashboard Cite

Air and rail transportation systems are characterized by important common features: they serve a significant share of passenger traffic in Europe; their functioning relies on the cooperation of many stakeholders operating a fixed timetable, often with competing objectives; and they have been characterized by quite a fragmented development following national borders. For these systems, the European Commission envisages a common future in terms of an increase of efficiency and elimination of national borders. In this paper, we analyze the two systems in the perspective of their common development and we underline the main existing differences linked to the management of the infrastructure. These differences concern the processes implemented for specifying and allocating capacity, both in strategic planning and in real-time intervention. Our analysis suggests that the air transportation system is moving in the direction indicated by the European Commission, as well as the rail transportation system for what concerns international train paths (typically high-speed trains). However, a substantial separation still exists between conventional rail transportation systems of different countries.

show abstract

“…Subjective measures, performance metrics, as well as psychophysiological indices, are often used to assess a particular type of cognitive load, which contributes to the workload (Galy et al, 2012). Along this line of research, earlier work was based on queuing theory and examination of controller's routine work (Schmidt, 1978), while more recent approaches employ the controller's subjective rating (Manning et al, 2002). In the attempt to prevent high workload, studies have focused on relevant factors that influence the workload.…”

Section: Introductionmentioning

confidence: 99%

A novel network approach to study communication activities of air traffic controllers

Wang

Han

et al. 2016

Transportation Research Part C: Emerging Technologies

View full text Add to dashboard Cite

Air traffic controllers play critical roles in the safety, efficiency, and capacity of air traffic management. However, there is inadequate knowledge of the dynamics of the controllers' activities, especially from a quantitative perspective. This paper presents a novel network approach to uncover hidden patterns of the controller's behavior based on the voice communication data. We convert the time series of the controller's communication activities, which contain flights' information, into a time-varying network and a static network, referred to as temporal network and timeaggregated network, respectively. These networks reflect the interaction between the controller and the flights on a sector level, and allow us to leverage network techniques to yield new and insightful findings regarding regular patterns and unique characteristics of the controller's communication activities. The proposed methodology is applied to three real-world datasets, and the resulting networks are closely examined and compared in terms of degree distribution, community structure, and motifs. This network approach introduces a "spatial" element to the conventional analysis of the controllers' communication events, by identifying connectivity and proximity among flights. It constitutes a major step towards the quantitative description of the controller-flight dynamics, which is not widely seen in the literature.

show abstract

Using air traffic control taskload measures and communication events to predict subjective workload.

Cited by 22 publications

References 8 publications

An approach to support controller work-place design in a multi-airport environment using fast and real-time simulations

An approach to support controller work-place design in a multi-airport environment using fast and real-time simulations

Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation

A novel network approach to study communication activities of air traffic controllers

Contact Info

Product

Resources

About