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A visualization tool of en route air traffic control tasks for describing controller’s proactive management of traffic situations

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Abstract

Improvements of aviation systems are now in progress to ensure the safety and efficiency of air transport in response to the rapid growth of air traffic. For providing theoretical and empirical basis for design and evaluation of aviation systems, researches focusing on cognitive aspects of air traffic controllers are definitely important. Whereas various researches from cognitive perspective have been performed in the Air Traffic Control (ATC) domain, there are few researches trying to illustrate ATCO’s control strategies and their effects on task demands in real work situations. The authors believe that findings from these researches can contribute to reveal why ATCOs are capable of handling air traffic safely and efficiently even in the high-density traffic condition. It can be core knowledge for tackling human factors issues in the ATC domain such as development of further effective education and training program of ATCO trainees. However, it is difficult to perform such kinds of researches because identification of ATC task from a given traffic situation and specification of effects of ATCO’s control strategies on task demands requires expert knowledge of ATCOs. The present research therefore aims at developing an automated identification and visualization tool of en route ATC tasks based on a cognitive system simulation of an en route controller called COMPAS (COgnitive system Model for simulating Projection-based behaviors of Air traffic controller in dynamic Situations), developed by the authors. The developed visualization tool named COMPASi (COMPAS in interactive mode) equips a projection process model that can simulate realistic features of ATCO’s projection involving setting extra margins for errors of projection. The model enables COMPASi to detect ATC tasks in a given traffic situation automatically and to identify Task Demand Level (TDL), that is, an ATC task index. The basic validity of COMPASi has been confirmed through detailed comparison between TDLs given by a training instructor and ones by COMPASi in a simulation-based experiment. Since TDL corresponds to demands of ATC tasks, temporal sequences of TDLs can reflect effectiveness of ATCO’s control strategies in terms of regulating task demands. By accumulation and analysis of such kind of data, it may be expected to reveal important aspect of ATCO’s skill for achieving the safety and efficiency of air traffic.

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Notes

  1. In the traffic scenario of the previous HILS experiment and the present simulation-based experiment, actually existing call sings of aircraft are used because call sings are one of important cues for ATCO’s situation recognition. They are not related to actual flights and airline companies at all.

References

  • Aoyama H, Iida H, Shiomi K (2010a) An expression of air traffic controller’s workload by recognition-primed decision model. In: Proceedings 27th congress of international council of the aeronautical sciences. Nice, Paper ICAS 2010-11.10.2

  • Aoyama H, Iida H, Karikawa D (2010b) Study on air traffic control system based on cognitive systems engineering IV (1). In: Proceedings human interface symposium 2010. Kusatsu, pp 209–212

  • Averty P (2005) Conflict perception by ATCS admits doubt but not inconsistency. 6th USA/Europe air traffic management research and development seminar, Baltimore, http://www.atmseminar.org/seminarContent/seminar6/papers/p_105_HF.pdf. Accessed 3 July 2011

  • Dittmann A, Kallus KW, Van Damme D (2000) Integrated task and job analysis of air traffic controllers—phase 3, Baseline reference of air traffic controller tasks and cognitive processes in the ECAC area. Eur Org Safety Air Navigat, HUM.ET1.ST01.1000-REP-05

  • Endsley MR, Rogers MD (1994), Situation awareness information requirements for en route air traffic control, DOT/FAA Technical Center Report, DOT/FAA/AM-94/27

  • Federal Aviation Administration (2011) FAA’s NextGen implementation plan. Federal Aviation Administration Web. http://www.faa.gov/nextgen/media/ng2011_implementation_plan.pdf. Accessed 28 June 2011

  • Fothergill S, Neal A (2008) The effect of workload on conflict decision making strategies in air traffic control. In: Proceedings human factors and ergonomics society 52nd annual meeting, NYC, pp 39–43

  • Granger G, Durand N, Alliot JM. (2001) Optimal resolution of en route conflicts. 4th USA/Europe air traffic management research and development seminar, Santa Fe, http://www.atmseminar.org/seminarContent/seminar4/papers/p_127_DSTCDM.pdf. Accessed 3 July 2011

  • Inoue S, Aoyama H, Kagayama K, Furuta K (2005) Task analysis for safety assessment in en-route air traffic control. In: Proceedings 13th international symposium aviation psychology. Oklahoma, pp 253–258

  • Inoue K, Ando H, Aoyama H, Yamato H (2006) A research on task analysis for en-route air traffic control. In: Proceedings international conference probabilistic safety assessment and management. New Orleans, PSAM-0254

  • Kallus KW, Barbarino M, Van Damme D (1998) Integrated task and job analysis of air traffic controllers. Eur Org Safety Air Navigat, HUM.ET1.ST01.1000-REP-03

  • Kallus KW, Van Damme D, Dittmann A (1999) Integrated task and job analysis of air traffic controllers—phase 2, task analysis of en-route controllers. Eur Org Safety Air Navigat, HUM.ET1.ST01.1000-REP-04s

  • Karikawa D, Takahashi M, Aoyama H (2010) Performance visualization in air traffic control using cognitive systems simulation, In: Proceedings 27th congress of international council of the aeronautical science. Nice, Paper ICAS 2010-11.10ST

  • Karikawa D, Takahashi M, Aoyama H, Kitamura M, Furuta K (2011) A simulation-based analysis of “Resilience”in enroute air traffic control tasks. In: Proceedings 4th symposium on resilience engineering. Sophia Antipolis, pp 135–141

  • Loft S, Bolland S, Humphreys MS, Neal A (2007) Modeling the human air traffic controller, part1: expert-trainee differences in conflict detection. In: Proceedings 14th international symposium aviation psychology. Dayton, pp 409–414

  • Majumdar A, Polak J (2001) Estimating capacity of Europe’s airspace using a simulation model of air traffic controller workload. Transport Res Record J Transport Res Board 1744:30–43

    Article  Google Scholar 

  • Majumdar A, Ochieng WY, Bentham J, Richards M (2005) En-route sector capacity estimation methodologies: an international survey. J Air Transport Manag 11(6):375–387. doi:10.1016/j.jairtraman.2005.05.002

    Article  Google Scholar 

  • Mogford RH (1997) Mental models and situation awareness in air traffic control. Int J Aviat Psychol 7:331–341. doi:10.1207/s15327108ijap0704

    Article  Google Scholar 

  • Rantanen EM, Yeakel SJ, Steelman KS (2006) En route controller task prioritization research to support CE-6 human performance modeling phase II: analysis of high-fidelity simulation data. Final technical report, Human Factors Division, University of Illinois, HFD-06-03/MAAD-06-2

  • SESAR Consortium (2009) European air traffic management master plan. SESAR Joint Undertaking Web. http://www.sesarju.eu/news-press/documents-reports. Accessed 28 June 2011

  • Soraji Y, Furuta K, Kanno T et al (2010) Cognitive model of team cooperation in en-route air traffic control. Cogn Tech Work. doi:10.1007/s10111-010-0168-x

  • Sperandio JC (1971) Variation of operator’s strategies and regulating effects on workload. Ergonomics 14:571–577

    Article  Google Scholar 

  • Tewes J (1999) Model simulation of the Bulgarian airspace. EUROCONTROL Experimental Centre, EEC Note No. 4/99

  • Wickens CD, Mavor AS, McGee JP (1997) Flight to the future the future: human factors in air traffic control. National Academy Press, Washington DC

    Google Scholar 

Download references

Acknowledgments

The present research was supported by Program for Promoting Fundamental Transport Technology Research of Japan Railway Construction, Transport and Technology Agency and Grant-in-Aid for Scientific Research (B) 21310103 of Japan Society for the Promotion of Science.

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Authors and Affiliations

  1. Department of Management Science and Technology, Tohoku University, 6-6-11 Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579, Japan

    Daisuke Karikawa, Makoto Takahashi & Toshio Wakabayashi

  2. Electric Navigation Research Institute, 7-42-23 Higashi-machi, Jindaiji, Chofu, 182-0012, Japan

    Hisae Aoyama

  3. Department of Systems Innovation, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan

    Kazuo Furuta

  4. New Industry Creation Hatchery Center, Tohoku University, 6-6-10 Aramaki-Aza-Aoba, Aoba-ku, Sendai, 980-8579, Japan

    Masaharu Kitamura

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  1. Daisuke Karikawa
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  2. Hisae Aoyama
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  3. Makoto Takahashi
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  4. Kazuo Furuta
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  5. Toshio Wakabayashi
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  6. Masaharu Kitamura
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Correspondence to Daisuke Karikawa.

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Karikawa, D., Aoyama, H., Takahashi, M. et al. A visualization tool of en route air traffic control tasks for describing controller’s proactive management of traffic situations. Cogn Tech Work 15, 207–218 (2013). https://doi.org/10.1007/s10111-012-0222-y

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  • DOI: https://doi.org/10.1007/s10111-012-0222-y

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