China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (1): 41-50.doi: 10.16265/j.cnki.issn1003-3033.2022.01.006

• Safety social science and safety management • Previous Articles     Next Articles

Research on monitoring information quality of ATC based on combination weighting

WANG Xinglong1(), CHEN Ziyan1, LIU Yan2   

  1. 1College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
    2State Key Laboratory of Air Traffic Management System and Technology, the 28th Research Institute of China Electronics Technology Group Corporation, Jiangsu Nanjing 210007, China
  • Received:2021-10-19 Revised:2021-12-07 Online:2022-01-28 Published:2022-07-28

Abstract:

In order to accurately evaluate monitoring information quality and provide decision-making reference for air traffic control (ATC) so as to prevent accidents, an information quality evaluation system was developed. Firstly, seven indices were chosen from three perspectives of integrity, accuracy and correctness, and they included target tracking integrity, target parameter integrity, position accuracy, velocity accuracy, heading accuracy, parameter correctness, probability value of true target. Secondly, with minimum total deviation as an aim, weights of these indices were determined by employing EAHP and entropy before evaluating value of monitoring information quality was obtained through weighted sum. Then, corresponding level of estimated values were decided through comparison with evaluating standards set by experts. Finally, simulated experiment was conducted with nine target trajectories in one period of a sector in North China as an instance. The results show that the evaluating results of the nine target trajectories are consistent with experts' analyses. The proposed evaluating system provides an effective and reliable approach to assess monitoring information, which can improve ACT safety.

Key words: combination weighting method, monitoring information, quality evaluation, extension analytic hierarchy process (EAHP), entropy weight method