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An analysis of air traffic controller-pilot miscommunication in the NextGen environment

Author

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  • Skaltsas, Gerasimos
  • Rakas, Jasenka
  • Karlaftis, Matthew G.

Abstract

This paper extends research on miscommunication between air traffic controllers and pilots by developing statistical models that predict the outcome of communications within the scope of controller-pilot data communications in the Next Generation Air Transportation environment. A database of controller-pilot voice messages from high and super-high altitude en-route sectors of US airspace is investigated. Emphasis is given to parameters that can be utilized in the voice-only communication, as well as in the mixed media, environment. This allows formulation of reasonable assumptions about the impact of data communications on controller and pilot behavior. The models indicate that the most important factors affecting communications are length and context of the message, entering of an aircraft into a sector, transfer of communication, and radio frequency congestion. The results also suggest that the transmission of non-time critical routine messages via data communications could reduce the number of communication errors and alleviate radio frequency congestion.

Suggested Citation

  • Skaltsas, Gerasimos & Rakas, Jasenka & Karlaftis, Matthew G., 2013. "An analysis of air traffic controller-pilot miscommunication in the NextGen environment," Journal of Air Transport Management, Elsevier, vol. 27(C), pages 46-51.
    • Handle: RePEc:eee:jaitra:v:27:y:2013:i:c:p:46-51
    DOI: 10.1016/j.jairtraman.2012.11.010
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    Cited by:

    1. Yang, Hui-Hua & Chang, Yu-Hern & Chou, Yi-Hui, 2023. "Subjective measures of communication errors between pilots and air traffic controllers," Journal of Air Transport Management, Elsevier, vol. 112(C).
    2. Ohneiser, Oliver & Helmke, Hartmut & Shetty, Shruthi & Kleinert, Matthias & Ehr, Heiko & Murauskas, Šarūnas & Pagirys, Tomas, 2021. "Prediction and extraction of tower controller commands for speech recognition applications," Journal of Air Transport Management, Elsevier, vol. 95(C).
    3. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    4. Yun Wang & Xuedong Yan & Yu Zhou & Qingwan Xue & Li Sun, 2017. "Individuals’ Acceptance to Free-Floating Electric Carsharing Mode: A Web-Based Survey in China," IJERPH, MDPI, vol. 14(5), pages 1-24, May.

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