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New directions for air traffic control simulators: A discussion to guide the selection and renovation of simulators

Published online by Cambridge University Press:  27 January 2016

C. Çetek ,
F. Aybek ,
E. Çinar  and
A. Cavcar
C. Çetek*
Affiliation:
Anadolu University, Faculty of Aeronautics and Astronautics, Air Traffic Control Department, Eskisehir, Turkey
F. Aybek*
Affiliation:
Anadolu University, Faculty of Aeronautics and Astronautics, Air Traffic Control Department, Eskisehir, Turkey
E. Çinar*
Affiliation:
Anadolu University, Faculty of Aeronautics and Astronautics, Air Traffic Control Department, Eskisehir, Turkey
A. Cavcar*
Affiliation:
Anadolu University, Faculty of Aeronautics and Astronautics, Air Traffic Control Department, Eskisehir, Turkey
*
[email protected]
[email protected]
[email protected]
[email protected]
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Abstract

The authors have recent experience of the specification, procurement, customisation and operation of advanced air traffic control simulator systems. This paper summarises the specification of the software and hardware components of air traffic control simulators within a framework of user needs and advances in simulation technology. Both the required conventional characteristics and the desired innovative features which can accommodate future requirements are defined using taxonomy within this framework. Considering the high investments and challenges involved in the acquisition and operation of modern simulators, the proposed classifications and approaches will provide important benefits to users when selecting or renovating their systems.

Type
Research Article
Information
The Aeronautical Journal , Volume 117 , Issue 1190 , April 2013 , pp. 415 - 426
Copyright
Copyright © Royal Aeronautical Society 2013 

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References

1. Cinar, E. Perceived Service Quality of Air Traffic Control Services, PhD Thesis, Anadolu University, Eskisehir, Turkey, 2010.Google Scholar
2. Cavcar, A. and Cavcar, M. New directions for ATC training: A discussion, Int J Aviation Psychology, 2004, 14, (2), pp 135–150.Google Scholar
3. Howard-Jones, T. New-generation ATC simulators designed to provide quicker, more cost effective training, ICAO J, 1999, 54, (3), pp 1–7.Google Scholar
4. Blake, M.W. The NASA advanced concepts flight simulator – A unique transport aircraft research environment, AIAA Paper 96-3518, AIAA Meeting Papers on Disc, 1996, pp 385–392.Google Scholar
5. Icao, Manual of Criteria for the Qualification of Flight Simulators Doc.9625, ICAO, Montreal, Ontario, Canada, 2003.Google Scholar
6. Icao, Personnel Licensing Annex 1 to the Convention on International Civil Aviation International Standards and Recommended Practices, ICAO, Montreal, Ontario, Canada 2006.Google Scholar
7. Shi-feng, M., Hui, L., Xian-jiang, H. and Zhi-sheng, Y. Development of the ATC simulators, IEEE Proceedings of the 16th International Conference on Artificial Reality and Telexistence–Workshops (ICAT’06), 2006, pp 333–338.Google Scholar
8. Shi-feng, M. and Danxia, W. Implementation of a flight control tower simulator using commercial off-the-shelf hardware, Simulation, 2010, 86, (2), pp 127–135.Google Scholar
9. Pistre, M. Common core training for Europe, Tenth Global Trainair Training Symposium and Conference, 2006, pp 63–71.Google Scholar
10. Fothergill, S., Loft, S. and Neal, A. ATC-lab Advanced: An air traffic control simulator with realism and control, Behavior Research Methods, 2009, 41, (1), pp 118–127.Google Scholar
11. Bolczak, R. and Celio, J. Accommodating ATC system evolution through advanced training techniques, AIAA-2005-7384, AIAA 5th Aviation, Technology, Integration, and Operations Conference (ATIO), 2005.Google Scholar
12. Abbott, R.G. Automated expert modeling for automated student evaluation, Intelligent Tutoring Systems Lecture Notes in Computer Science, 2006, 4053, pp 1–10.Google Scholar