Academic literature on the topic 'Air traffic controller workload'

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Journal articles on the topic "Air traffic controller workload"

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Corver, Sifra Christina, Dana Unger, and Gudela Grote. "Predicting Air Traffic Controller Workload." Human Factors: The Journal of the Human Factors and Ergonomics Society 58, no. 4 (2016): 560–73. http://dx.doi.org/10.1177/0018720816639418.

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Durso, Francis T., and Carol A. Manning. "Air Traffic Control." Reviews of Human Factors and Ergonomics 4, no. 1 (2008): 195–244. http://dx.doi.org/10.1518/155723408x342853.

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Determining how the controller (or air navigation service provider) of the future will function in tomorrow's Next Generation Air Transportation System (NextGen) will require an understanding of the existing literature. In this chapter, after an analysis of the controller's job, we focus on technology, which is an important factor in air traffic control (ATC) today and will become increasingly so in NextGen. We then turn to workload and the extent to which it can be predicted. From human-technology interaction and workload, we move to the multiple facets of cognition thought to underlie these
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Tang, Wei Zhen. "Research of Radar Controllers' Workload in Fuzzy Synthetic Evaluation Model." Advanced Materials Research 722 (July 2013): 233–38. http://dx.doi.org/10.4028/www.scientific.net/amr.722.233.

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This issue aims at evaluating the radar controllers workload with Fuzzy matter-element analysis and grey relational analysis, based on every part of air traffic control work which takes services that air traffic controller offers to pilots and the radar control procedure into consideration. Focusing the result of evaluation this paper shows the relative membership grade between workloads and parts of the radar control work. The conclusion of this research helps improving controllers workload management and making the safety situation better.
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Majumdar, Arnab, Washington Y. Ochieng, Gérard McAuley, Jean Michel Lenzi, and Catalin Lepadatu. "The Factors Affecting Airspace Capacity in Europe: A Cross-Sectional Time-Series Analysis Using Simulated Controller Workload Data." Journal of Navigation 57, no. 3 (2004): 385–405. http://dx.doi.org/10.1017/s0373463304002863.

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Air traffic in Europe is increasing at a rapid rate and traffic patterns no longer display pronounced daily peaks but instead exhibit peak spreading. Airspace capacity planning can no longer be for the peak period but must consider the whole day. En route airspace capacity in the high density European air traffic network is determined by controller workload. Controller workload is primarily affected by the features of the air traffic and ATC sector. This paper considers the air traffic and ATC sector factors that affect controller workload throughout the whole day. A simulation study using the
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Xiang, Zheng, Wei Jun Pan, and Yu Tang. "Application of Controller Pilot Data Link Communication in the Training for Air Traffic Controller." Advanced Materials Research 616-618 (December 2012): 2162–65. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.2162.

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The application of Controller Pilot Data Link Communication (CPDLC) in the training for air traffic controller is investigated. CPDLC is a data link application that allows for the direct exchange of text-based messages between a controller and a pilot. It greatly improves communication capabilities compared to traditional voice communication, in terms of reducing communication errors and pilot workload, improving the efficiency of airspace management and providing economic benefits. As traffic volume in the airspace becomes saturated, it is necessary to adopt CPDLC as the primary communicatio
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Lee, Paul U. "A Non-Linear Relationship between Controller Workload and Traffic Count." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 12 (2005): 1129–33. http://dx.doi.org/10.1177/154193120504901206.

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Controller workload has been a focal topic in air traffic management research because it is considered a key limiting factor to capacity increase in air traffic operations. Because workload ratings are subjective and highly prone to individual differences, some researchers have tried to replace workload with more objective metrics, such as aircraft count. A significant caveat in substituting these metrics for workload ratings, however, is that their relationships are non-linear. For example, as the number of aircraft increases linearly, the controller's perceived workload jumps from low to hig
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Antulov-Fantulin, Bruno, Biljana Juričić, Tomislav Radišić, and Cem Çetek. "Determining Air Traffic Complexity – Challenges and Future Development." Promet - Traffic&Transportation 32, no. 4 (2020): 475–85. http://dx.doi.org/10.7307/ptt.v32i4.3401.

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Air traffic complexity is one of the main drivers of the air traffic controllers’ workload. With the forecasted increase of air traffic, the impact of complexity on the controllers' workload will be even more pronounced in the coming years. The existing models and methods for determining air traffic complexity have drawbacks and issues which are still an unsolved challenge. In this paper, an overview is given of the most relevant literature on air traffic complexity and improvements that can be done in this field. The existing issues have been tackled and new solutions have been given on how t
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Triyanti, V., H. A. Azis, H. Iridiastadi, and Yassierli. "Workload and Fatigue Assessment on Air Traffic Controller." IOP Conference Series: Materials Science and Engineering 847 (May 28, 2020): 012087. http://dx.doi.org/10.1088/1757-899x/847/1/012087.

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Martin, Lynne, Thomas Kozon, Savita Verma, and Sandra Lozito. "Using Models to Explore Air Traffic Controller Workload." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 50, no. 3 (2006): 396–400. http://dx.doi.org/10.1177/154193120605000339.

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Redding, Richard E. "Analysis of Operational Errors and Workload in Air Traffic Control." Proceedings of the Human Factors Society Annual Meeting 36, no. 17 (1992): 1321–25. http://dx.doi.org/10.1518/107118192786749252.

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The Federal Aviation Administration has embarked on a major curriculum redesign effort to improve the training of en route air traffic controllers. Included in this effort was a cognitive task analysis. One component of the task analysis was an analysis of operational errors, to obtain insights into cognitive-perceptual factors contributing to controller decisionmaking error. The data suggest that a failure to maintain situation awareness is the primary cause of controller error. These results highlight the importance of the controller task “maintain situation awareness”, and are consistent wi
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Dissertations / Theses on the topic "Air traffic controller workload"

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Zohrevandi, Elmira. "Effects of Complexity Factors on Controllers Workload in Stockholm Terminal Area." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131154.

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Through a history of more than 50 years, the results of mathematical models have shown that controller workload is being driven by the complexity involved in the airspace environment. Part of this complexity is prompted by the dynamical behavior of traffic patterns. From the results of models describing controller’s workload, it is observed that predictability decreases the complexity. Therefore, the general idea behind this topic is to analyze how a specific notion of predictability influences the controller’s workload. This specific notion in this research is a type of automation that aircra
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Portillo, Yolanda. "Pre-tactical trajectory compatibility determination to reduce air traffic controllers' tactical workload." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7908.

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The current Air Traffic Management (ATM) system, based on principles established more than 50 years ago, is starting to show clear signs of saturation. This fact. joined to increasingly environmental awareness, leads to a paradigm shift from the current sector-based ATM system, to a future trajectory-based ATM system. Within this research, factors and processes affecting trajectory-based operations are analysed, and the main factors hindering an accurate trajectory definition identified, in order to establish the criteria under which two aircraft trajectories could be declared as compatible in
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Majumdar, Arnab. "A framework for modelling the capacity of Europe's airspace using a model of air traffic controller workload." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.483524.

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Djokic, Jelena. "Investigation into Air Traffic Complexity as a Driver of a Controller‘s Workload." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-208110.

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The thesis describes an investigation into Air Traffic Control (ATC) complexity as a contributory factor in changes of controllers' workload. It is considered that ATC complexity, together with equipment interface and procedural demands comprise the task demands imposed on the en-route controller to perform certain activities, which mediated by performance shaping factors create workload. The data used to study this relationship came from ATC real-time simulations completed at EUROCONTROL CRDS in Budapest: recorded flown trajectories, communication performed by the controller (whether with oth
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Vela, Adan Ernesto. "Understanding conflict-resolution taskload: implementing advisory conflict-detection and resolution algorithms in an airspace." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42920.

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From 2010 to 2030, the number of instrument flight rules aircraft operations handled by Federal Aviation Administration en route traffic centers is predicted to increase from approximately 39 million flights to 64 million flights. The projected growth in air transportation demand is likely to result in traffic levels that exceed the abilities of the unaided air traffic controller in managing, separating, and providing services to aircraft. Consequently, the Federal Aviation Administration, and other air navigation service providers around the world, are making several efforts to improve the
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Cho, HongSeok. "Understanding the impact of potential best-equipped, best-served policies on the en-route air traffic controller performance and workload." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/71460.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79-81).<br>New capabilities of Air Traffic Control (ATC) under development in Next Generation Air Transportation system (NextGen) will increase the system capacity to accommodate the expected growth in the air traffic. One of the key enablers of the NextGen capabilities is advanced onboard equipage of the aircraft. During the transition to NextGen, aircraft with different equipage levels will coexist in the same a
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Lindahl, Lukas. "Representing Three-Dimensional Airspace on a Two-Dimensional screen : Visualizing altitude information on a radar screen for a decreased cognitive load." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233179.

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This study was conducted at the Swedish Defense research agency as an attempt to understand affordances and limitations in visualizing altitude information for fighter controllers. The fighter controllers are subject to large quantities of numerical information from multiple sources simultaneously. Their duties are highly stressful and require large mental workload and situational awareness. Today, a large portion of information is represented visually, except for altitude. The altitude of a jet is represented only numerically on the screen, next to the icon representing an airplane. This thes
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Teixeira, Renato Jorge Galvão. "Análise do impacto do uso da re-setorização dinâmica na carga de trabalho do controlador de tráfego aéreo por meio de simulações computacionais." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-09012008-162108/.

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A crescente demanda por transporte aéreo tem provocado um aumento na densidade do fluxo de aeronaves no espaço aéreo. A sobrecarga cada vez maior de aeronaves nos setores estáticos do espaço aéreo, cujos controles são de responsabilidade dos controladores de tráfego aéreo, provoca um estado de alerta constante no gerenciamento do tráfego aéreo. Uma única falha na monitoração e controle dos setores, realizadas pelos controladores de tráfego aéreo, pode por em risco a vida de centenas de pessoas. Para garantir a segurança do espaço aéreo, o controlador de tráfego aéreo tem que realizar várias ta
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Djokic, Jelena [Verfasser], Hartmut [Akademischer Betreuer] [Gutachter] Fricke, and Leon [Gutachter] Urbas. "Investigation into Air Traffic Complexity as a Driver of a Controller‘s Workload / Jelena Djokic ; Gutachter: Hartmut Fricke, Leon Urbas ; Betreuer: Hartmut Fricke." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://d-nb.info/1114067903/34.

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Djokic, Jelena [Verfasser], Hartmut Akademischer Betreuer] [Gutachter] Fricke, and Leon [Gutachter] [Urbas. "Investigation into Air Traffic Complexity as a Driver of a Controller‘s Workload / Jelena Djokic ; Gutachter: Hartmut Fricke, Leon Urbas ; Betreuer: Hartmut Fricke." Dresden : Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-208110.

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Books on the topic "Air traffic controller workload"

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Prinzo, O. Veronika. Data-linked pilot reply time on controller workload and communication in a simulated terminal option: Final report. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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United States. Office of Aviation Medicine and Civil Aeromedical Institute, eds. Data-linked pilot reply time on controller workload and communication in a simulated terminal option: Final report. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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Prinzo, O. Veronika. Data-linked pilot reply time on controller workload and communication in a simulated terminal option: Final report. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 2001.

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Endsley, Mica R. Distribution of attention, situation awareness, and workload in a passive air traffic control task: Implications for operational errors and automation. U.S. Dept. of Transportation, Federal Aviation Administration, Office of Aviation Medicine, 1997.

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Air traffic controller staffing in the en route domain: A review of the Federal Aviation Administration's task load model. Transportation Research Board, 2010.

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Air traffic controller. 2nd ed. ARCO, 1990.

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Air traffic controller. Prentice Hall Press, 1986.

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Masters, Nancy Robinson. Air traffic controller. Cherry Lake Pub., 2010.

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1942-, Turner James E., ed. Air traffic controller. 3rd ed. Prentice Hall General Reference, 1994.

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Air traffic control safety oversight: Hearing before the Subcommittee on Aviation Operations, Safety, and Security of the Committee on Commerce, Science, and Transportation, United States Senate, One Hundred Twelfth Congress, first session, May 24, 2011. U.S. G.P.O., 2011.

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Book chapters on the topic "Air traffic controller workload"

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Dmochowski, Piotr Andrzej, and Jacek Skorupski. "A Method of Evaluating Air Traffic Controller Time Workload." In Communications in Computer and Information Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-27547-1_26.

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Gladys, Sylwester, Marek Malarski, and Jacek Skorupski. "Analysis of Controller Workload Related to Air Traffic Density." In Operations Research ’92. Physica-Verlag HD, 1993. http://dx.doi.org/10.1007/978-3-662-12629-5_91.

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Triyanti, Vivi, Hastian Abdul Azis, Yudha Prasetyawan, Hardianto Iridiastadi, and Yassierli. "Individual Factors Related to Mental Workload in Air Traffic Controller." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63335-6_28.

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Basu, Amitabh, Joseph S. B. Mitchell, and Girishkumar Sabhnani. "Geometric Algorithms for Optimal Airspace Design and Air Traffic Controller Workload Balancing." In 2008 Proceedings of the Tenth Workshop on Algorithm Engineering and Experiments (ALENEX). Society for Industrial and Applied Mathematics, 2008. http://dx.doi.org/10.1137/1.9781611972887.8.

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Radüntz, Thea, Thorsten Mühlhausen, Norbert Fürstenau, Emilia Cheladze, and Beate Meffert. "Cardiovascular Parameters for Mental Workload Detection of Air Traffic Controllers." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11051-2_120.

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Zhang, Jingyu, and Feng Du. "Relational Complexity Network and Air Traffic Controllers’ Workload and Performance." In Engineering Psychology and Cognitive Ergonomics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20373-7_49.

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Mühlhausen, Thorsten, Thea Radüntz, André Tews, Hejar Gürlük, and Norbert Fürstenau. "Research Design to Access the Mental Workload of Air Traffic Controllers." In Human Systems Engineering and Design. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02053-8_63.

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Chen, Zhenling, Jianping Zhang, Guoliang Zou, et al. "Interaction Effect of Workload and Circadian Rhythm in Air Traffic Controllers’ Fatigue." In Man-Machine-Environment System Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6978-4_29.

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Kraut, Joshua M., Ariana Kiken, Sabrina Billinghurst, et al. "Effects of Data Communications Failure on Air Traffic Controller Sector Management Effectiveness, Situation Awareness, and Workload." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21669-5_58.

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Qiao, Han, Eh Xiaotian, and Jingyu Zhang. "Proper Communication Style Promotes Team Workload Redistribution Through Backup Behavior Among Air Traffic Controllers." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62302-9_12.

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Conference papers on the topic "Air traffic controller workload"

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Chatterji, Gano, and Banavar Sridhar. "Measures for air traffic controller workload prediction." In 1st AIAA, Aircraft, Technology Integration, and Operations Forum. American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-5242.

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"Neural network based air traffic controller workload prediction." In Proceedings of the 1999 American Control Conference. IEEE, 1999. http://dx.doi.org/10.1109/acc.1999.786543.

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Rodríguez, Sara, Leticia Sánchez, Patricia López, and José J. Cañas. "Pupillometry to assess Air Traffic Controller workload through the Mental Workload Model." In the 5th International Conference. ACM Press, 2015. http://dx.doi.org/10.1145/2899361.2899371.

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Zhuoxi, Song, Chen Yangzhou, Li Zhenlong, Zhang Defu, and Bi Hong. "A review for workload measurement of air traffic controller based on air traffic complexity." In 2013 25th Chinese Control and Decision Conference (CCDC). IEEE, 2013. http://dx.doi.org/10.1109/ccdc.2013.6561284.

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Kalvoda, Jan, and Miloslav Bauer. "Electronic Data in Air Traffic Controller Environment as a Workload Aspect." In 2019 International Conference on Military Technologies (ICMT). IEEE, 2019. http://dx.doi.org/10.1109/miltechs.2019.8870059.

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Izadi, Arman, Nicolas Hinze, and Antonio A. Trani. "Evaluating Air Traffic Controllers’ Workload Through Computer Simulations." In 2019 Winter Simulation Conference (WSC). IEEE, 2019. http://dx.doi.org/10.1109/wsc40007.2019.9004799.

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d'Engelbronner, Jurriaan, Max Mulder, Marinus Van Paassen, Sebastiaan De Stigter, and Hans Huisman. "The Use of the Dynamic Solution Space to Assess Air Traffic Controller Workload." In AIAA Guidance, Navigation, and Control Conference. American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-7542.

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Wang, Hongyong, Duo Gong, and Ruiying Wen. "Air traffic controllers workload forecasting method based on neural network." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162334.

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Corradini, P., and C. Cacciari. "Shift work and workload: effects on air traffic controllers communications." In People in Control. Human Factors in Control Room Design. Institution of Engineering and Technology, 2001. http://dx.doi.org/10.1049/cp:20010447.

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Yousefi, Arash, and George Donohue. "Temporal and Spatial Distribution of Airspace Complexity for Air Traffic Controller Workload-Based Sectorization." In AIAA 4th Aviation Technology, Integration and Operations (ATIO) Forum. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-6455.

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Reports on the topic "Air traffic controller workload"

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Carretta, Thomas R. Determinants of US Air Force Enlisted Air Traffic Controller Success. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada430201.

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Russell, Chris A., and Glenn F. Wilson. Application of Artificial Neural Networks for Air Traffic Controller Functional State Classification. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada404631.

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Johnson, David W., and Roger T. Johnson. Impact of Cooperative-Team Learning on Performance and Retention of Navy Air-Traffic Controller Trainees. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada213435.

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