Flight scheduling based on node influence of complex network

Yannan Qi; Mingcheng Tang

doi:10.1117/12.3054577

20 December 2024 Flight scheduling based on node influence of complex network

Yannan Qi, Mingcheng Tang

Author Affiliations +

Proceedings Volume 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024); 134213P (2024) https://doi.org/10.1117/12.3054577
Event: Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 2024, Dalian, China

Abstract

Optimizing the inbound and outbound traffic is a method to reduce airport flight delay. However, propagation is a characteristic of delay. The delay of departure flight will affect the operation of its destination airport, especially in large hub airports. To consider the contribution of destination airport to the whole airport network while optimizing the airport schedule, has a positive effect on the network delay control. Using the complex network theory, the influential nodes in the airport network is identified. The constraint factor of inbound-and-outbound ratio is considered, and a schedule optimization model is established with the goals of flight delay and operational fairness. The model is validated by taking China's national airport network and Beijing Capital Airport operation as an example. The simulation results show that, the model balances the delay cost of each time period, and the delay of airports in the whole network reduced slightly, and the workload of whole airport network is balanced as well. It is proved that the influence node identification method based on robustness measure is effective.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yannan Qi and Mingcheng Tang "Flight scheduling based on node influence of complex network", Proc. SPIE 13421, Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), 134213P (20 December 2024); https://doi.org/10.1117/12.3054577

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE