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Quantitative method of smart airport evaluation index based on logic-physical framework

  • Rui ZHANG ,
  • Wei HUANG ,
  • Tao MA
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  • 1.School of Instrument Science and Engineering,Southeast University,Nanjing  211189,China
    2.Key Laboratory of Transport Industry of Comprehensive Transportation Theory (Nanjing Modern Multimodal Transportation Laboratory),Nanjing  211100,China
    3.School of Transportation,Southeast University,Nanjing  211189,China
E-mail: hhhwei2005@126.com

Received date: 2024-01-19

  Revised date: 2024-02-01

  Accepted date: 2024-03-08

  Online published: 2024-03-11

Supported by

National Key Research and Development Project(2020YFB1600102);National Natural Science Foundation of China(42074039);Opening Foundation of Key Laboratory of Transport Industry of Comprehensive Transportation Theory (Nanjing Modern Multimodal Tranportation Laboratory)(MTF2023013)

Abstract

To address the issue of the inability to quantitatively express the basic service flow index in evaluating the level of airport intelligence, this study proposes a logic-physical framework-based smart airport evaluation system. Through a comparison and analysis of existing evaluation methods, the process-oriented approach is adopted to construct a framework for smart airport systems. On this basis, each basic indicator within the framework is defined mathematically and described quantitatively according to two different categories of qualitative index and quantitative index. The results of the study show that the process-oriented evaluation system is also applicable to the construction of intelligent evaluation system for airports, and it can reflect the business flows and subsystems of intelligent airports comprehensively from the logical framework to the physical framework. The use of different categorical quantification methods for the underlying metrics based on their mathematical descriptions helps to portray a more accurate and comprehensive picture of the degree of intelligence in airports. The quantitative analysis of the basic indicators of A airport found that the basic indicators of flight area management account for 20% of percentage type indicator, 34.3% of numerical type indicator, 45.7% of yes or no type indicator, 13.3% of percentage type indicator, 13.3% of numerical type indicator and 73.4% of yes or no type indicator of the basic indicators of land side traffic management Each indicator can show the specific quantization score, indicating that the quantitative method proposed can be applied to the quantization processing of all airport traffic.

Cite this article

Rui ZHANG , Wei HUANG , Tao MA . Quantitative method of smart airport evaluation index based on logic-physical framework[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2024 , 45(10) : 30199 -030199 . DOI: 10.7527/S1000-6893.2024.30199

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