Network resilience assessment of airport running and sliding system based


	on cell transmission model

Abstract

Abstract:

Runway capacity is one of the key elements that affect the normal operation of airport flight areas, and external disturbance events can cause a decrease in the dynamic capacity of the airport. According to airport aircraft taxiing

rules, this article proposes a model to evaluate the resilience of airport flight area operation network after disturbance events, based on cell transmission model (CTM). Firstly, network performance parameters are obtained

based on the CTM. Then, taking the number of aircraft waiting in the network and the efficiency of network operation as basic performance indicators, a resilience index for the dynamic changes of the resilience of the disturbed

network is established. Finally, the CTM based network resilience assessment framework for airport running and

sliding system is established, and operational data from Tianjin Binhai International Airport in 2019 are collected,

processed, and analyzed. The research results indicate that the trend of simulated airport departure operation data

is highly consistent with the actual departure operation data, with a simulation accuracy of over 90%, and can accurately describe the network traffic flow distribution of the airport running and sliding system. The two proposed resilience assessment indicators for airports can comprehensively reflect the complete dynamic change process of

system network performance from degradation to recovery before and after disturbance events occur, providing new

support for network management of airport running and sliding system.

Key words:

airport running and sliding system, resilience assessment, cell transmission model, network operational efficiency

CLC Number:

V351.11

ZHANG Yuhui, WEN Wen.

Network resilience assessment of airport running and sliding system based

on cell transmission model

[J]. Journal of Civil Aviation University of China, 2025, 43(3): 53-61.

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Network resilience assessment of airport running and sliding system based

on cell transmission model

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