Abstract
In order to evaluate the work capability of approach controllers in real time, further improve the safety of ATC operation and promote the high-quality development of civil aviation. This paper identifies three indicators to assess the real-time capability of approach controllers according to the work characteristics and job requirements: reaction capability, decision-making capability and radar continuous monitoring capability. According to the different traffic volumes of small, medium and large, a controller’s real-time capability assessment model was established, and the three indicators were quantified and studied by experimentally using Tobii eye movement instrument to collect controllers’ eye movement data, and the weights of the three indicators were determined by using the entropy-CRITIC combination method. The position of approach controller requires the highest reaction capability, followed by radar surveillance capability and decision-making capability. Finally, k-means cluster analysis is used to classify and evaluate the real-time capability of controllers, and the approach controller capability is classified into four levels, with the best capability for Level 1 controllers and the worst capability for Level 4 controllers, and suggestions are given for the capability training of different levels of controllers.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Petri, A.M.: Competence Assessment of Air Traffic Controllers: a transition from Safety-I to Safety-II. Business (2015)
Soldatov, S.K.: Professionally important skills of air traffic controllers. Hum. Physiol. 44(7), 775–778 (2018)
Jingqiang, L., Hao, L., Ning, Z., et al.: Competency model and analysis on its influence relationship for air traffic controller. J. Saf. Sci. Technol. 12(02), 175–180 (2016)
Hantao, L., Maolin, Y.: Study on the competency model of controllers in civil aviation guangzhou control center. Oper. Manage. 05, 86–92 (2021)
Yang Fan, Y., Minjian, L.Y., et al.: Research on flight controller job competency under tower command model reform. J. Inf. Eng. Univ. 22(01), 112–118 (2021)
Chen, F., Luo, Y.: Study on Safety Capability Model of Air Traffic Controllers. China Saf. Sci. J. 22(01), 17–23 (2012)
Mengyao, M.: Research on Safety Capability of Small and Medium Airport Controllers Based on Analytic Hierarchy Process-Classification Management Model. Civil Aviation Flight University of China (2020)
Yong, Y.: Quantitative Research on Controllers’ Situational Awareness. Civil Aviation University of China (2020)
Li, F., Li, D.P.: A portfolio evaluation model based on entropy weight method. Inf. Technol. Informatization 09, 148–150 (2021)
Jialiang, C.: Research on the evaluation method of portfolio assignment based on game theory. Fujian Comput. 09, 15–16 (2003)
Libo, H., Baohui, M.: Evaluation of water resources carrying capacity in haine riverbasin based on combinatorial game theory. Water Resour. Power 39(11), 61–64 (2021)
Cui, M.: Introduction to the K-means clustering algorithm based on the elbow method. Acc. Auditing Finance 3, 9–16 (2020)
Yang, J.Z.: Analysis of human factors of flight altitude deviation. J. Civ. Aviat. Flight Acad. China 03, 16–18 (2000)
Acknowledgements
The cooperation of air traffic controllers in the study is greatly appreciated, and it is their support that enabled the authors to successfully complete the experimental content and conduct the controller competency assessment study.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Wang, L., Gu, QL., Wang, K.R. (2023). A Study on Real-Time Control Capability Assessment of Approach Controllers. In: Harris, D., Li, WC. (eds) Engineering Psychology and Cognitive Ergonomics. HCII 2023. Lecture Notes in Computer Science(), vol 14017. Springer, Cham. https://doi.org/10.1007/978-3-031-35392-5_23
Download citation
DOI: https://doi.org/10.1007/978-3-031-35392-5_23
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-35391-8
Online ISBN: 978-3-031-35392-5
eBook Packages: Computer ScienceComputer Science (R0)