The impact of the automatic terminal information service on airspace capacity and air traffic controllers workload
DOI: https://doi.org/10.3846/aviation.2025.25330Abstract
The Automatic Terminal Information Service (ATIS) is an important part of the organization of air traffic, which automatically provides pilots with important information about the status of the airport, runways in use, meteorological and other important data. In the absence of ATIS, air traffic controllers (ATC) must repeatedly relay this information, increasing communication demands and potentially contributing to ATC workload and operational inefficiencies. This study investigates the impact of ATIS implementation on sector capacity and controller workload. The research utilizes a year-long observational dataset from a regional airport operating without ATIS, where controller–pilot communication durations and frequencies were recorded under live operational conditions. Communication parameters, including the number of transmissions, mean message duration, and controller availability factor, were extracted and used to model sector capacity according to the Instruction of the Aeronautics Command (ICA) 100-30 methodology. The introduction of ATIS was then simulated by adjusting these parameters to reflect the automated transmission of routine information. Results show that ATIS significantly reduces the number and average duration of controller–pilot communications, leading to an increase in controller availability. Consequently, sector capacity rose by 36.03% for fixed-wing aircraft and 37.56% for rotorcraft. Statistical testing confirmed that these improvements were not attributable to random variation. The findings suggest that implementing ATIS can support more efficient communication, contribute to reducing controller workload, and may lead to a noticeable increase in sector capacity.
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workload, ATIS, capacity, sector, safety, controllerHow to Cite
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Copyright (c) 2025 The Author(s). Published by Vilnius Gediminas Technical University.
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References
Athenes, S., Averty, P., Puechmorel, S., & Delahaye, D., & Collet, Ch. (2002). ATC complexity and controller workload: Trying to bridge the gap. In Proceedings of the International Conference on HCI in Aeronautics (pp. 55–60). AAAI.
Bauer, M., & Kalvoda, J. (2020). Workload features inside air traffic control electronic transfer environment. Advances in Military Technology, 15(1), 191–199. https://doi.org/10.3849/aimt.01356
Chatterji, G., & Sridhar, B. (2001). Measures for air traffic controller workload prediction. In Proceedings of the First AIAA Aircraft Technology, Integration, and Operations Forum, Los Angeles, CA. American Institute of Aeronautics & Astronautics. https://doi.org/10.2514/6.2001-5242
Chang, Y. H., & Yeh, C. H. (2010). Human performance interfaces in air traffic control. Applied Ergonomics 41(1), 123–129. https://doi.org/10.1016/j.apergo.2009.06.002
Dandegaokar, D., Katre, S., & More, S. V. (2016). Automatic Terminal Information System (ATIS). International Journal of Scientific Engineering and Research, 4(4), 75–78. https://doi.org/10.70729/IJSER15764
Dmochowski, P., & Skorupski, J. (2017). Air traffic smoothness. A new look at the air traffic flow management. Transportation Research Procedia, 28, 127–132. https://doi.org/10.1016/j.trpro.2017.12.177
EUROCONTROL. (2018). Challenges of growth 2018. https://www.eurocontrol.int/publication/challenges-growth-2018
EUROCONTROL. (2017). Twenty years of network management. european organisation for the safety of air navigation. https://www.eurocontrol.int/sites/default/files/publication/files/2016-spring-skyway-magazine-full.pdf
EUROCONTROL. (2000). Investigating the air traffic complexity: Potential impacts on workload and costs. https://www.eurocontrol.int/sites/default/files/library/019_Air_Traffic_Complexity.pdf
EUROCONTROL. (2024). CAPAN methodology – sector capacity assessment. https://www.icao.int/ESAF/Documents/meetings/2016/Air%20Traffic%20Services%20System%20Capacity%202016/2%20 CAPAN_Sector_Capacity_A ssessment.pdf
EUROCONTROL. (2003). Pessimistic sector capacity estimation (Report EEC Note No.21/03, Project OCA). Brussels. https://www.eurocontrol.int/sites/default/files/library/026_Pessimistic_Sector_Capacity.pdf
Federal Aviation Administration. (2025). Air traffic by the numbers. FAA. https://www.faa.gov/air_traffic/by_the_numbers
Gerdes, I., Jameel, M., Materne, L. J., & Bruder, C. (2025). Synergies in the skies: Situation awareness and shared mental model in digital-human air traffic control teams. Aerospace, 12, Article 472. https://doi.org/10.3390/aerospace12060472
Histon, J. M., & Hansman, R. J. (2008a). Mitigating complexity in air traffic control: The role of structure-based abstractions (Report No. ICAT-2008-05). ICAT, Cambridge. https://www.researchgate.net/publication/38002271_Mitigating_Complexity_in_Air_Traffic_Control_The_Role_of_Structure-Based_Abstractions
Histon, J. M., & Hansman, R. J. (2008b). The impact of structure on cognitive complexity in air traffic control. Human Factors and Ergonomics Society Annual Meeting, 52(1), 24–28.
Hui, L., Pei, Z., Quan, S., Ke, X., & Zhe, S. (2024). Cognitive workload detection of air traffic controllers based on mRMR and fewer EEG channels. Brain Sciences, 14(8), Article 811. https://doi.org/10.3390/brainsci14080811
Hoskova-Mayerova, S., Kalvoda, J., Bauer, M., & Rackova, P. (2022). Development of a methodology for assessing workload within the air traffic control environment in the Czech Republic. Sustainability, 14(13), Article 7858. https://doi.org/10.3390/su14137858
Hossain, M., Alam, S., & Delahaye, D. (2019). An evolutionary computational framework for capacity-safety trade-off in an air transportation network. Chinese Journal of Aeronautics, 32(4), 999–1010. https://doi.org/10.1016/j.cja.2018.12.017
International Civil Aviation Organization. (2001). Aeronautical telecommunications (Annex 10). ICAO.
International Civil Aviation Organization. (2016). Procedures for air navigation services (PANS) – air traffic management (Doc 4444). ICAO.
Jaurena, R. A. (2009). Guide for the application of a common methodology to estimate airport and ATS sector capacity for the SAM region (Regional Project: ICAO RLA/06/901). ICAO.
Karagkouni, A., Zantanidis, S., Moutzouri, A., Sartzetaki, M., Constantinidis, T., & Dimitriou, D. (2025). Assessment of occupational health and safety performance in air traffic control: An empirical investigation of stress and well-being. Safety, 11(3), Article 88. https://doi.org/10.3390/safety11030088
Lahtinen, T. (2020). Radio speech communication and workload in military aviation: A human factors perspective. University of Oulu. http://jultika.oulu.fi/files/isbn9789526214283.pdf
Langr, D., Kalvoda, V., & Pokorný, V. (2015). Testing aptitudes as part of the selection process of air traffic controllers by the Czech Armed Forces. Advances in Military Technology, 10(2), 27–67. https://www.aimt.cz/index.php/aimt/article/view/1096
Lemetti, A., Meyer, L., Peukert, M., Polishchuk, T., Schmidt, C., & Wylde, A. H. (2025). Predicting air traffic controller workload using machine learning with a reduced set of eye-tracking features. Transportation Research Procedia, 88, 66–73. https://doi.org/10.1016/j.trpro.2025.05.008
Loft, S., Sanderson, P., Neal, A., & Mooij, M. (2007). Modeling and predicting mental workload in en route air traffic control: Critical review and broader implications. Human Factors, 49(3), 376–399. https://doi.org/10.1518/001872007X197017
Lyssakov, N. D., & Lyssakova, E. N. (2019). Human factor as a cause of aircraft accidents. In Proceedings of the II International Scientific-Practical Conference “Psychology of Extreme Professions” (ISPCPEP 2019) (pp. 130–132). Atlantis Press. https://doi.org/10.2991/ispcpep-19.2019.31
Majumdar, A., & Ochieng, W. (2002). Factors affecting air traffic controller workload: Multivariate analysis based on simulation modeling of controller workload. Transportation Research Record, 1788(1), 58–69. https://doi.org/10.3141/1788-08
Mogford, R., Guttman, S., Morrow, S. L., & Kopardekar, P. (1995). The complexity construct in air traffic control: A review and synthesis of the literature (DOT/FAA/CT-TN-95/22). FAA Technical Center, Atlantic City.
Moreno, F. P., Comendador, F. G., Jurado, R. D., Suárez, M. Z., Janisch, D., & Valdés, R. M. A. (2022). Determination of air traffic complexity most influential parameters based on machine learning models. Symmetry, 14(12), Article 2629. https://doi.org/10.3390/sym14122629
Muñoz-de-Escalona, E., Leva, M. C., & Cañas, J. J. (2024). Mental workload as a predictor of ATCO’s performance: Lessons learnt from ATM task-related experiments. Aerospace, 11(8), Article 691. https://doi.org/10.3390/aerospace11080691
Netjasov, F. (2012). Framework for airspace planning and design based on conflict risk assessment: Part 1: Conflict risk assessment model for airspace strategic planning. Transportation Research Part C: Emerging Technologies, 24, 190–212. https://doi.org/10.1016/j.trc.2012.03.002
Parasuraman, R., & Riley, V. (1997). Humans and automation: Use, misuse, disuse, abuse. Human Factors, 39(2), 230–253. https://doi.org/10.1518/001872097778543886
Putri, E. D., Nurmaida, H. A., Warsito, T., Sodikin, A., & Gultom, S. (2019). The effect fatigue levels of air traffic control (ATC) on work effectiveness in Soekarno-Hatta International Airport. Advances in Transportation and Logistics Research, 2, 46–50.
Restuputri, D., Fatimah, S., & Mubin, A. (2022). Air traffic control work system design to improve operator performance with workload approach and safety concept. Jurnal Sistem dan Manajemen Industri, 6(2). https://doi.org/10.30656/jsmi.v6i2.4582
Shappell, S., Wiegmann, D., Fraser, J., Gregory, G., Kinsey, P., & Squier, H. (1999). Beyond mishap rates: A human factors analysis of US Navy/Marine Corps TACAIR and rotary wing mishaps using HFACS. Aviation, Space, and Environmental Medicine, 70, 416–417.
SKYbrary. (2023). Methods to describe sector capacity. https://www.skybrary.aero/articles/methods-describe-sector-capacity
SKYbrary. (2024). Automatic Terminal Information Service (ATIS). https://skybrary.aero/articles/automatic-terminal-information-service-atis
Socha, V., Hanáková, L., Valenta, V., Socha, L., Ábela, R., Kušmírek, S., Pilmannová, T., & Tecl, J. (2020). Workload assessment of air traffic controllers. Transportation Research Procedia, 51, 243–251. https://doi.org/10.1016/j.trpro.2020.11.027
Tomaszewska, T. (2023). Application of Markov chains, MTBF and machine learning in air transport reliability. Aviation and Security Issues, 4(2), 83–106. https://doi.org/10.55676/asi.v4i2.81
Vargas-Cuentas, N. I., & Roman-Gonzalez, A. (2015). Automatic terminal information system for El Alto airport. In The 3rd International Conference on Technology, Informatics, Management, Engineering & Environment (TIME-E) (pp. 137–142). IEEE. https://doi.org/10.1109/TIME-E.2015.7389762
Weckler, D., Matthews, B., Monadjemi, S., Wolfe, S. R., & Oza, N. C. (2023). Monitoring airspace complexity and determining contributing factors. In AIAA SCITECH 2023 Forum (Article 1197). Aerospace Research Central. https://doi.org/10.2514/6.2023-1197
Wickens, C. D., Hollands, J. G., Banbury, S., & Parasuraman, R. (2015). Engineering psychology and human performance (4th ed.). Psychology Press. https://doi.org/10.4324/9781315665177
Wickens, C. D. (2008). Multiple resources and mental workload. Human Factors: The Journal of the Human Factors and Ergonomics Society, 50(3), 449–455. https://doi.org/10.1518/001872008X288394
Zafar, M. (2023). Safety management – human factor. In A. A. Khan, M. S. Hossain, M. Fotouhi, A. Steuwer, A. Khan, & D. F. Kurtulus (Eds), Proceedings of the First International Conference on Aeronautical Sciences, Engineering and Technology (pp. 386–391). ICASET. Springer. https://doi.org/10.1007/978-981-99-7775-8_42
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