MODELS OF AIR TRAFFIC CONTROLLERS ERRORS PREVENTION IN TERMINAL CONTROL AREAS UNDER UNCERTAINTY CONDITIONS
DOI:
https://doi.org/10.18372/2306-1472.70.11416Keywords:
air traffic controller, air traffic services, error management, proficiency skills, safety of flights, terminal control area, uncertainty factorsAbstract
Purpose: the aim of this study is to research applied models of air traffic controllers’ errors prevention in terminal control areas (TMA) under uncertainty conditions. In this work the theoretical framework descripting safety events and errors of air traffic controllers connected with the operations in TMA is proposed. Methods: optimisation of terminal control area formal description based on the Threat and Error management model and the TMA network model of air traffic flows. Results: the human factors variables associated with safety events in work of air traffic controllers under uncertainty conditions were obtained. The Threat and Error management model application principles to air traffic controller operations and the TMA network model of air traffic flows were proposed. Discussion: Information processing context for preventing air traffic controller errors, examples of threats in work of air traffic controllers, which are relevant for TMA operations under uncertainty conditions.
References
Wickens C.D., Mavor A.S., McGee J.P. Flight to the future: Human Factors in Air Traffic Control. Washington: National Academy Press, 1997.
Salmon P.M., Stanton N.E., Lenne M., Jenkins D.P., Rafferty L., Walker G.H. Human Factors Methods and Accident Analysis: Practical Guidance and Case Study Applications. Surrey: Ashgate Publishing Limited, 2011.
Wang Bo, Kharchenko V., Chynchenko Yu. Principles of safety management of air traffic flows and capacity under uncertainty conditions. Proceedings of the National Aviation University, 2016, vol. 3, pp. 7-12.
Kharchenko V., Chynchenko Yu. Estimation of effect of uncertainty factors on safety of air traffic flows in terminal control areas. Proceedings of the National Aviation University, 2015, vol. 4, pp. 22-27.
Kharchenko V., Chynchenko Yu. Models of qualitative estimation of air traffic flows and capacity in terminal control areas. Proceedings of the National Aviation University, 2016, vol. 4, pp. 7-13.
Reason J. Managing the risks of organizaional accidents. Brookfield, VT, Ashgate, 1997.
Shorrock S.T., Isaac A. Mental Imagery in Air Traffic Control. The International Journal of Aviation Psychology, 2010, 20 (4), pp. 309-324.
Shorrock S.T. Errors in memory in air traffic control. Safety Science, 2005, 43, 571-588.
Bradley T.F., Tenenbaum J.B. A probabilistic model of visual working memory: Incorporating higher order regularities into working memory capacity estimates. Psychological Review, 2013, vol 120 no 1, 85-109.
Wickens C.D., Gordon S.E., Liu Y. Human Factors Engineering. New York: Longman, 1998.
Chica A.B., Bartolomeo P., Luianez J. Two cognitive and neural systems for endogenous and exogenous spatial attention. Behvioural Brain research, 2012, 237, 107-123.
Demeter E., Hernandez-Garcia L., Sarter M., Lustig C. Challenges to attention: A continuous arterial spin labelling (ASL) study of the effects of distraction on sustained attention. NeuroImage, 2011, 54, 1518-1529.
Wickens C.D., & Hollands, J. G. (2000). Engineering Psychology and Human Performance (3rd Ed.). New Jersey: Prentice Hall.
Seamster T.L., Redding R.E., Cannon J.R., Ryder J.M. & Purcell J.A. Cognitive task analysis of expertise in air traffic control. The international journal of aviation psychology, 1993, 3, 257 - 283.
Vicente K. Ecological interface design: progress and challenges. Human Factors, 2002, 44, 62-78.
Strub Issam S., Bayen Alexandre M. Optimal Control of Air Traffic Networks Using Continuous Flow Models. AIAA Conference on Guidance, Control and Dynamics, Keystone, Colorado, 2006.
