Volume 41 Issue 6
Dec.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(6): 142-151
JIANG Wei, LI Yinfeng. An Entropy Weighting-improved TOPSIS Method for Sector Complexity Evaluation[J]. Journal of Transport Information and Safety, 2023, 41(6): 142-151. doi: 10.3963/j.jssn.1674-4861.2023.06.016
Citation: JIANG Wei, LI Yinfeng. An Entropy Weighting-improved TOPSIS Method for Sector Complexity Evaluation[J]. Journal of Transport Information and Safety, 2023, 41(6): 142-151. doi: 10.3963/j.jssn.1674-4861.2023.06.016
shu

An Entropy Weighting-improved TOPSIS Method for Sector Complexity Evaluation

doi: 10.3963/j.jssn.1674-4861.2023.06.016

  • School of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan 063210, China

  • Received Date: 2023-08-23
    Available Online: 2024-04-03
    Abstract
  • Sector complexity evaluation is the key and foundation for airspace planning and airspace resource allocation strategy. To solve the problems of multi-factor coupling and the issue of simplicity and subjectivity of existing evaluation methods, a sector complexity evaluation method based on entropy weight improvement-TOPSIS method is proposed. According to the operation characteristics of airspace sector, eight specific quantitative indicators are developed from three aspects of airspace static structure, traffic operation state and dynamic restriction, including route structure, aircraft potential conflict and bad weather, to establish a multidimensional evaluation index system that comprehensively reflects the complexity of airspace sector. A Gaussian distribution outlier detection method is used to eliminate the influence of extreme outliers on the evaluation. Combined with objective weight calculation of entropy weight method, a sector complexity evaluation method is proposed based on entropy weighting improved TOPSIS method, which is closer to the actual operation of the sector and conforms to the subjective cognition. This study takes Beijing regional sectors as an example for verification analysis, based on the standard of balanced sector complexity, the sector complexity is evaluated and analyzed from two scenarios: horizontal comparison between multiple sectors and comparison of single sector at different time periods, and compared with the expert evaluation results. The results show that the complexity of the two scenarios is unbalanced, indicating that the current allocation of airspace resources in Beijing area is unbalanced in both time and space. According to the evaluation results, airspace structure adjustment and traffic flow optimization can be carried out. Compared with the evaluation results of expert experience, the evaluation results of this method agree with the subjective cognition of experts as high as 80%, which verifies the feasibility, accuracy and effectiveness of this method. This method outperforms the expert evaluation method with the advantages of quantification, strong objectivity and convenient calculation.

     

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