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Journal articles on the topic 'Air traffic control'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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2

Moon, Woo-Choon, Kwang-Eui Yoo, and Youn-Chul Choi. "Air Traffic Volume and Air Traffic Control Human Errors." Journal of Transportation Technologies 01, no. 03 (2011): 47–53. http://dx.doi.org/10.4236/jtts.2011.13007.

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3

Sukhova, T. S., O. V. Aleksashina, and O. N. Grinyuk. "AIR TRAFFIC CONTROL BASICS." Spravochnik. Inzhenernyi zhurnal, no. 295 (October 2021): 53–56. http://dx.doi.org/10.14489/hb.2021.10.pp.053-056.

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The concept of flight safety is considered, the features and purpose of the air traffic control system, the air traffic control complex, the capabilities of the system that ensure flight safety are presented.

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4

Billing, W. G., and B. V. Latter. "Air traffic control towers." Proceedings of the Institution of Civil Engineers - Transport 95, no. 4 (1992): 243–52. http://dx.doi.org/10.1680/itran.1992.21363.

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5

Gopalakrishnan, Karthik, and Hamsa Balakrishnan. "Control and Optimization of Air Traffic Networks." Annual Review of Control, Robotics, and Autonomous Systems 4, no. 1 (2021): 397–424. http://dx.doi.org/10.1146/annurev-control-070720-080844.

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The air transportation system connects the world through the transport of goods and people. However, operational inefficiencies such as flight delays and cancellations are prevalent, resulting in economic and environmental impacts. In the first part of this article, we review recent advances in using network analysis techniques to model the interdependencies observed in the air transportation system and to understand the role of airports in connecting populations, serving air traffic demand, and spreading delays. In the second part, we present some of our recent work on using operational data

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6

Asirvadam, Tina Vimala, Sonali Rao S, and Balachander T. "Predicting Air Traffic Density in an Air Traffic Control Sector." ECS Transactions 107, no. 1 (2022): 5037–45. http://dx.doi.org/10.1149/10701.5037ecst.

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Air traffic over Indian skies continues to increase rapidly and due to this increased demand, efforts must be made to efficiently balance demand with capacity. Air traffic flow management is a concept that allows for better demand and capacity management. It helps airlines plan routes and schedule flights. The ability to estimate the volume of air traffic is hence a critical element in flow management. Determining traffic in an ATC sector necessitates a thorough examination of various hidden parameters. The prediction is carried out using machine learning algorithms, Recurrent Neural Network,

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7

Ratcliffe, S. "Air traffic control and mid-air collisions." Electronics & Communications Engineering Journal 2, no. 5 (1990): 202. http://dx.doi.org/10.1049/ecej:19900045.

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8

Straussberger, Sonja, and Dirk Schaefer. "Monotony in Air Traffic Control." Air Traffic Control Quarterly 15, no. 3 (2007): 183–207. http://dx.doi.org/10.2514/atcq.15.3.183.

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9

Noskievič, Tomáš, and Jakub Kraus. "Air Traffic Control Tools Assessment." MAD - Magazine of Aviation Development 5, no. 2 (2017): 6. http://dx.doi.org/10.14311/mad.2017.02.01.

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<p align="LEFT">Undoubtedly air transport in today’s world wouldn’t be able to exist without any air traffic control service. As the air transport has been coming through major changes and it has been expanding, it is assumed that its volume will be doubled in the next 15 years. Air traffic control uses strictly organised procedures to ensure safe course of air operations. With the skies covered with more airplanes every year, new tools must be introduced to allow the controllers to manage this rising amount of flying aircraft and to keep the air transport safe. This paper provides a com

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10

STAGER, PAUL, and DONALD HAMELUCK. "Ergonomics in air traffic control." Ergonomics 33, no. 4 (1990): 493–99. http://dx.doi.org/10.1080/00140139008927156.

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11

Nitschke, Geoff. "Cooperating air traffic control agents." Applied Artificial Intelligence 15, no. 2 (2001): 209–35. http://dx.doi.org/10.1080/088395101750065778.

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12

Halverson, Christine A. "Traffic Management in Air Control." ACM SIGOIS Bulletin 15, no. 2 (1994): 7–11. http://dx.doi.org/10.1145/192611.1023974.

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13

Ort, Markus. "Displays in air traffic control." Information Design Journal 11, no. 1 (2003): 17–31. http://dx.doi.org/10.1075/idj.11.1.04ort.

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Commercial aviation is becoming more and more important these days. From year to year there is an accelerated increase in the density of air traffic. The resulting fast growth in the flow of data between controllers and the technical systems they use, as well as that between controller and pilot, calls for new means of communication and visualization of information and interaction with it. Revised concepts for air traffic control must be applied, to deal safely with the increasing volume of traffic in the future. The main focus must be on designing an appropriate interface to support the inter

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14

Bretz, E. A. "UK privatizes air traffic control." IEEE Spectrum 38, no. 6 (2001): 37–39. http://dx.doi.org/10.1109/mspec.2001.925284.

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15

YAMAMOTO, Kazuo. "Future of Air Traffic Control." Journal of the Society of Mechanical Engineers 114, no. 1116 (2011): 809–12. http://dx.doi.org/10.1299/jsmemag.114.1116_809.

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16

Krois, Paul A., David R. Lenorovitz, Patrick S. McKeon, Christine A. Snyder, Wayne K. Tobey, and Howard S. Bashinski. "Air Traffic Control Facility Lighting." Proceedings of the Human Factors Society Annual Meeting 35, no. 8 (1991): 551–55. http://dx.doi.org/10.1518/107118191786754725.

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17

Maxwell, Victor B. "Stress in air traffic control." Stress Medicine 2, no. 1 (1986): 27–36. http://dx.doi.org/10.1002/smi.2460020107.

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18

Berry, Peter. "North Atlantic air traffic control." Aeronautical Journal 94, no. 939 (1990): 318–23. http://dx.doi.org/10.1017/s0001924000023204.

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In 1989, more than 29 million passengers were flown across the North Atlantic Ocean in 167 000 scheduled and non-scheduled flights. At peak times during the Summer months, a trans-Atlantic flight was crossing the Shanwick Oceanic Control boundary every minute and more than 200 flights were reporting between 10 and 50 degrees West. Traffic counts exceeded 750 flights a day.The following account describes the more recent improvements to North Atlantic air traffic control, the early introduction of computers to the task, with their on-line data interchange between Oceanic Control Centres and the

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19

Ribas, Valdenilson Ribeiro, Hugo André de Lima Martins, Gutemberg Guerra Amorim, et al. "Air traffic control activity increases attention capacity in air traffic controllers." Dementia & Neuropsychologia 4, no. 3 (2010): 250–55. http://dx.doi.org/10.1590/s1980-57642010dn40300015.

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Abstract Air traffic controllers simultaneously develop complex and multiple tasks in the course of their activities. In this context, concern is raised over the high level of attention needed by these professionals which can ultimately be affected by stress and fatigue. Objectives: The objective of this study was to assess attention level in air traffic controllers (ATCo). Methods: 45 flight protection professionals were evaluated, comprising 30 ATCo, subdivided into ATCo with ten or more years in the profession (ATCo³10, n=15) and ATCo with less than ten years in the profession (ATCo <10,

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20

Jáger, Rebeka Anna, and Géza Szabó. "Air Traffic Simulation Framework for Testing Automated Air Traffic Control Solutions." Applied Sciences 15, no. 12 (2025): 6414. https://doi.org/10.3390/app15126414.

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As air traffic control (ATC) automation advances, simulation environments become essential for testing and validating novel solutions before deployment. This study presents a modular framework that integrates real air traffic data to simulate controlled and uncontrolled airspace environments for automation assessment. The framework consists of a two-layer structure: a traffic simulation layer for generating and updating aircraft positions, and an upper layer for managing control agents and traffic commands. It uses ADS-B data to simulate realistic conditions, incorporates randomized traffic ge

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21

Gawade, Makarand, and Yu Zhang. "Synthesis of Remote Air Traffic Control System and Air Traffic Controllers’ Perceptions." Transportation Research Record: Journal of the Transportation Research Board 2600, no. 1 (2016): 49–60. http://dx.doi.org/10.3141/2600-06.

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22

Howland, J. W. "Digital air/ground communications for air traffic control." IEEE Aerospace and Electronic Systems Magazine 9, no. 4 (1994): 20–24. http://dx.doi.org/10.1109/62.277749.

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23

PREDA, Valentin, Răzvan GHICA, Iulian BLENDEA, Dumitru DIACU, Alin GHIȚĂ, and Andrei-Mihai LUCHIAN. "AIR PROTECTION ENCRYPTION PROTOCOLS FOR SECURING AIR TRAFFIC CONTROL COMMUNICATION." Review of the Air Force Academy 22, no. 1 (2024): 11–18. http://dx.doi.org/10.19062/1842-9238.2024.22.1.2.

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The article presents a detailed analysis of the encryption protocols used in air traffic control systems to ensure the security of communication between aircraft and ground systems. The importance of secure communication in air traffic management is highlighted and encryption protocols such as AES, RSA and ECC are examined within the specific context of air traffic control. Special emphasis is placed on secure communication architecture and cryptographic key management solutions. Challenges and solutions in implementing these protocols in complex environments with high security requirements ar

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24

Majumdar, Arnab, and Washington Yotto Ochieng. "Air Traffic Control Complexity and Safety." Transportation Research Record: Journal of the Transportation Research Board 2007, no. 1 (2007): 70–80. http://dx.doi.org/10.3141/2007-09.

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25

Schulman, Paul R., and Johan M. Sanne. "Creating Safety in Air Traffic Control." Administrative Science Quarterly 46, no. 2 (2001): 345. http://dx.doi.org/10.2307/2667093.

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26

Wium, Jóhann, and Jennifer Eaglestone. "Job Analysis for Air Traffic Control." Aviation Psychology and Applied Human Factors 12, no. 1 (2022): 31–49. http://dx.doi.org/10.1027/2192-0923/a000218.

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Abstract. This article presents a review and categorization of job analyses on the role of air traffic controllers (ATCO). There are three parts – how the role has been conceptualized, why it was conceptualized in this manner, and what we can conclude from developments in ATCO job analysis. The article includes a history of job analysis in air traffic control and two tables summarizing task and worker analyses. A large amount of information is available on tasks and attributes and we conclude that ATCO job analyses have been carried out in a varied and disunited manner. While there is no unive

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27

Dabare, Poshitha, GKA Dias, Aruni Nisansala, et al. "FOSS BASED AIR TRAFFIC CONTROL SIMULATOR." International Journal of Research -GRANTHAALAYAH 4, no. 12 (2016): 170–77. http://dx.doi.org/10.29121/granthaalayah.v4.i12.2016.2406.

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This paper presents an analysis of the significance of Air Traffic Control (ATC) simulators in training, and focuses on the development of low cost, high awareness ATC simulator on a 3D virtual environment, using Free and Open Source Aircraft simulator named Flightgear. Here it has proposed a scenario based ATC officer control method covering the all three phases; tower control, approach and enroute control.

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28

Zhang, Qing Feng. "Optimal Control of Air Traffic Networks." Advanced Materials Research 945-949 (June 2014): 3300–3303. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3300.

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This article will focus on the study of the dynamic dead reckoning algorithm .Dead reckoning technology is the basis for high- traffic and high -density complex airspace management , air traffic is an important component of automated decision-making system . In airspace management , all of the traffic management strategies can be generated by the aircraft 's forecast track . Depending on the precise spatial location and route on expected over time , dead reckoning implementation will significantly reduce the uncertainty in the future of aircraft flight paths , which makes the airspace and airp

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29

NAGAOKA, Sakae. "Technological Changes in Air Traffic Control." Journal of The Institute of Electrical Engineers of Japan 134, no. 4 (2014): 220–23. http://dx.doi.org/10.1541/ieejjournal.134.220.

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30

Akselsson, R., C. Källqvist, V. Bednarek, et al. "Virtual Reality in Air Traffic Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 33 (2000): 6–273. http://dx.doi.org/10.1177/154193120004403353.

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31

Yuditsky, Tanya, and Randy L. Sollenberger. "Alternatives for Air Traffic Control Displays." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 45, no. 2 (2001): 100–104. http://dx.doi.org/10.1177/154193120104500222.

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32

Cummings, M. L., and Chris Tsonis. "Deconstructing Complexity in Air Traffic Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 1 (2005): 25–29. http://dx.doi.org/10.1177/154193120504900107.

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While previous research has addressed air traffic controller workload as a function of cognitive complexity due to environmental and to a lesser degree, organizational factors, significantly less attention has been paid to the role of displays and complexity in the ATC environment. One drawback to new display technology is that in dynamic human supervisory control domains, it is not always clear whether a decision support interface actually alleviates or contributes to the problem of complexity. In an attempt to quantify the influence of environmental and display complexity factors on cognitiv

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33

Debelack, A. S., J. D. Dehn, L. L. Muchinsky, and D. M. Smith. "Next generation air traffic control automation." IBM Systems Journal 34, no. 1 (1995): 63–77. http://dx.doi.org/10.1147/sj.341.0063.

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34

Shorrock, Steven T., and Anne Isaac. "Mental Imagery in Air Traffic Control." International Journal of Aviation Psychology 20, no. 4 (2010): 309–24. http://dx.doi.org/10.1080/10508414.2010.487008.

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35

Sheridan, T. B., I. Park, J. Meyer, T. Juergensohn, S. J. Landry, and Y. M. Yufik. "Conflict Monitoring in Air Traffic Control." IFAC Proceedings Volumes 34, no. 16 (2001): 543–48. http://dx.doi.org/10.1016/s1474-6670(17)41579-5.

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36

Mkrttchian, Vardan, and Knarik Mkrtchyan. "Air Traffic Control Automation in Armenia." IFAC Proceedings Volumes 33, no. 12 (2000): 71–73. http://dx.doi.org/10.1016/s1474-6670(17)37279-8.

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37

Stonor, Thomas. "Air Traffic Control Today and Tomorrow." Journal of Navigation 44, no. 2 (1991): 143–51. http://dx.doi.org/10.1017/s0373463300009887.

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Life is more intense today than was shown in the film, and direction finding is somewhat more precise. We now know where aircraft are, rather than where they were some minutes earlier, (for at least most of the time!) and not every air traffic controller we employ speaks like an early BBC announcer.

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38

Reynolds, Linda. "Colour for air traffic control displays." Displays 15, no. 4 (1994): 215–25. http://dx.doi.org/10.1016/0141-9382(94)90070-1.

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39

Majumdar, Arnab. "Air traffic control problems in Europe." Journal of Air Transport Management 1, no. 3 (1994): 165–77. http://dx.doi.org/10.1016/0969-6997(94)90038-8.

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40

Arvidsson, Marcus, Curt R. Johansson, Åsa Ek, and Roland Akselsson. "Organizational climate in air traffic control." Applied Ergonomics 37, no. 2 (2006): 119–29. http://dx.doi.org/10.1016/j.apergo.2005.06.005.

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41

Poshitha, Dabare, Dias GKA, Nisansala Aruni, et al. "FOSS BASED AIR TRAFFIC CONTROL SIMULATOR." International Journal of Research -GRANTHAALAYAH 4, no. 12 (2016): 170–77. https://doi.org/10.5281/zenodo.223835.

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This paper presents an analysis of the significance of Air Traffic Control (ATC) simulators in training, and focuses on the development of low cost, high awareness ATC simulator on a 3D virtual environment, using Free and Open Source Aircraft simulator named Flightgear. Here it has proposed a scenario based ATC officer control method covering the all three phases; tower control, approach and enroute control.

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42

David, Hugh. "Measures of Stress/Strain on Air Traffic Controllers in Simulated Air Traffic Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 44, no. 37 (2000): 680. http://dx.doi.org/10.1177/154193120004403737.

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This poster summarises, in symbolic form, thirty years of experience at the EUROCONTROL Experimental Centre (EEC) in the assessment of the workload placed on controllers, Stress (= Ss) and their reactions to stress, Strain (= St). The accompanying pamphlets go into more detail about the specific techniques. See also the EUROCONTROL Experimental Centre Website “ www.eurocontrol.fr ”.

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43

Bregman, Howard L., Warren L. McCabe, and William G. Sutcliffe. "Capturing Air Traffic Controller Expertise for Incorporation in Automated Air Traffic Control Systems." Proceedings of the Human Factors Society Annual Meeting 32, no. 16 (1988): 1031–35. http://dx.doi.org/10.1177/154193128803201608.

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Under Federal Aviation Administration (FAA) sponsorship, MITRE's Human Performance Assessment Group is contributing to the design of an expert system to support air traffic control. We are working closely with a team of expert, full-performance-level air traffic controllers to capture the formal and informal rules they use in maintaining flight safety and efficiency. This paper documents our approach to working with these experts, the results of using that approach, and a distillation of lessons learned.

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44

Su, Te-Jen, Kun-Liang Lo, Feng-Chun Lee, and Yuan-Hsiu Chang. "Aircraft approaching service of terminal control based on fuzzy control." International Journal of Modern Physics B 34, no. 22n24 (2020): 2040142. http://dx.doi.org/10.1142/s0217979220401426.

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Aircraft approaching is the most dangerous phase in every complete flight. To solve the pressure of air traffic controllers and the landings delayed problems caused by the huge air traffic flow in Terminal Control Area (TCA), an automatic Air Traffic Control (ATC) instructions system is initially designed in this paper. It applies the fuzzy theory to make instant and appropriate decisions which can be transmitted via Controller-Pilot Datalink Communications (CPDLC). By means of the designed system, the decision-making time can be saved and the human factors can be reduced to avoid the flight a

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45

Han, Shah, and Lee. "Holographic Mixed Reality System for Air Traffic Control and Management." Applied Sciences 9, no. 16 (2019): 3370. http://dx.doi.org/10.3390/app9163370.

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Based on a long-term prediction by the International Civil Aviation Organization indicating steady increases in air traffic demand throughout the world, the workloads of air traffic controllers are expected to continuously increase. Air traffic control and management (ATC/M) includes the processing of various unstructured composite data along with the real-time visualization of aircraft data. To prepare for future air traffic, research and development intended to effectively present various complex navigation data to air traffic controllers is necessary. This paper presents a mixed reality-bas

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46

Bai, Jie, Buhong Wang, Leya Zeng, and Yong Yang. "A Cascading Failure Model of the Air Traffic Control Network Based on the Theory of Interdependent Networks." Applied Sciences 13, no. 10 (2023): 6256. http://dx.doi.org/10.3390/app13106256.

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With the continuous development of information technology, a spontaneous interdependent network has formed within the air traffic control network. Due to the internal interdependence, any small, failed node may trigger a cascade failure of the entire system. The purpose of this study is to investigate the resilience of air traffic control networks. Based on air traffic management regulations, a new cascading failure model for air traffic control networks is proposed, which is based on the theory of interdependent networks. The model establishes a dual-layer dependency relationship between the

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47

Ahrenhold, Nils, Ingrid Gerdes, Thorsten Mühlhausen, and Annette Temme. "Validating Dynamic Sectorization for Air Traffic Control Due to Climate Sensitive Areas: Designing Effective Air Traffic Control Strategies." Aerospace 10, no. 5 (2023): 405. http://dx.doi.org/10.3390/aerospace10050405.

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Dynamic sectorization is a powerful possibility to balance the controller workload with respect to traffic flows changing over time. A multi-objective optimization system analyzes the traffic flow over time and determines suitable time-dependent sectorizations. Our dynamic sectorization system is integrated into a radar display as part of a working environment for air traffic controllers. A use case defining climate-sensitive areas leads to changes in traffic flows. When using the system, three controllers are assessed in two scenarios: the developed controller assistance system and the work i

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48

Grant Zietsman, Grant Zietsman, and Reza Malekian Grant Zietsman. "Modelling of a Speech-to-Text Recognition System for Air Traffic Control and NATO Air Command." 網際網路技術學刊 23, no. 7 (2022): 1527–39. http://dx.doi.org/10.53106/160792642022122307008.

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<p>Accent invariance in speech recognition is a chal- lenging problem especially in the are of aviation. In this paper a speech recognition system is developed to transcribe accented speech between pilots and air traffic controllers. The system allows handling of accents in continuous speech by modelling phonemes using Hidden Markov Models (HMMs) with Gaussian mixture model (GMM) probability density functions for each state. These phonemes are used to build word models of the NATO phonetic alphabet as well as the numerals 0 to 9 with transcriptions obtained from the Carnegie Mellon Unive

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49

Endsley, Mica R., and Mark D. Rodgers. "Situation Awareness Information Requirements Analysis for En Route Air Traffic Control." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 1 (1994): 71–75. http://dx.doi.org/10.1177/154193129403800113.

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Situation awareness is a fundamental requirement for effective air traffic control forming the basis for controller decision making and performance. To develop a better understanding of the role of situation awareness in air traffic control, an analysis was performed to determine the specific situation awareness requirements for air traffic control. This was conducted as a goal-direct task analysis in which the major goals, subgoals, decisions and associated situation awareness requirements for En Route Air Traffic Control (ATC) were delineated based on elicitation from eight experienced Air T

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50

Susanto, Primadi Candra, Prasadja Ricardianto, Hartono Hartono, and Ryan Firdiiansyah. "PERANAN AIR TRAFFIC CONTROL UNTUK KESELAMATAN PENERBANGAN DI INDONESIA." Aviasi : Jurnal Ilmiah Kedirgantaraan 17, no. 1 (2021): 1–11. http://dx.doi.org/10.52186/aviasi.v17i1.54.

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Tujuan penelitian ini adalah untuk mengetahui peranan Air Traffic Control Untuk Keselamatan Penerbangan di Indonesia, Penerbangan merupakan sarana transportasi yang sudah dalam kondisi tidak aman (unsafe condition). Keselamatan merupakan hal yang harus diutamakan dalam dunia penerbangan. Untuk menciptakan keselamatan penerbangan, maka dibentuklah pelayanan pemandu lalu lintas udara yang disebut dengan Air Traffic Controller dan dianggap sebagai salah satu pekerjaan yang memiliki tuntutan kerja tinggi dan merupakan salah satu profesi yang memiliki tingkat stres tinggi dikarenakan beban tanggung

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