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Poster Presentation at the Conference, with a Paper in Conference Proceedings

Transportation Safety

Session: Meet the Author - Poster Session PS-6

1370699 - Research on hotspot recognition of multi-runway airport based on complex network

Friday, June 16, 2023
3:30 PM – 5:00 PM CST
Room: Governor's Grand Ballroom
Salon ABC
TRACK: Poster Presentation with a Paper in the Proceedings

    Primary Author(s)

  • Jiuxia Guo

    Ph.D
    Civil Aviation Flight University of China
    Guanghan, United States

    • Presenter(s)

  • Jiuxia Guo

    Ph.D
    Civil Aviation Flight University of China
    Guanghan, United States

    • Co-Author(s)

  • Jinyu Tian, n/a

    Student
    Civil Aviation Flight University of China, United States

  • Ye Wei, n/a

    senior engineer
    Civil Aviation Flight University of China, United States

  • Yingjie Jia, n/a

    student
    Civil Aviation Flight University of China
    Sichuan Province, Sichuan, United States

  • Yinhai Wang

    Ph.D., P.E.
    Univ. of Washington
    Seattle, WA, United States

ABSTRACT
In order to reduce the number of aircrafts in the hotspots of the multi-runway airport maneuvering area and improve the operation efficiency of the maneuvering area, this paper builds the network structured of the multi-runway airport maneuvering area based on the complex network theory. By identifying the critical nodes of the multi-runway airport maneuvering area, the robustness of the multi-runway airport maneuvering area network is evaluated under random attacks, and the real multi-runway airport maneuvering area network is taken as an example for verification and analysis. The results show that a multi-runway airport maneuvering area network is much more vulnerable under deliberate attack strategy. When the attack ratio reaches 48%, the relative loss of network efficiency reaches 90%, and the relative loss of the largest connected subgraph reaches 90%, and the maneuvering area network is paralyzed. When the attack ratio reaches 40%, the relative loss of network efficiency reaches 90%, the relative loss of the largest connected subgraph reaches 90%, and the landing area network is paralyzed under the deliberate attack strategy in landing area. This paper provides a new idea and method for hotspot identification of multi-runway airport maneuvering area, and provides reference and suggestions for taxiing route planning and surface monitoring of airport maneuvering area.
Key words: multi-runway airport; maneuvering area network; critical nodes; robustness

Learning Objectives:

Attendees can expect to learn the following from this session:
  • Upon completion, participant will be able to master more knowledge about hotspots.
  • Upon completion, participant will be able to communicate more with people with the same research direction.
  • Upon completion, participant will be able to gain more in my research direction.