Fluctuations in airport arrival and departure traffic: A network analysis

doi:10.1088/1674-1056/21/8/088901

中国物理B ›› 2012, Vol. 21 ›› Issue (8): 88901-088901.doi: 10.1088/1674-1056/21/8/088901

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇下一篇

Fluctuations in airport arrival and departure traffic: A network analysis

李善梅^a, 徐肖豪^b, 孟令航^a

a School of Computer Science and Technology, Tianjin University, Tianjin 300072, China;
b College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China

收稿日期:2011-12-27 修回日期:2012-01-06 出版日期:2012-07-01 发布日期:2012-07-01
基金资助:
Project supported by the National Natural Science Foundation of China (Grant No. 61039001).

Fluctuations in airport arrival and departure traffic: A network analysis

Li Shan-Mei (李善梅)^a, Xu Xiao-Hao (徐肖豪)^b, Meng Ling-Hang (孟令航 )^a

a School of Computer Science and Technology, Tianjin University, Tianjin 300072, China;
b College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China

Received:2011-12-27 Revised:2012-01-06 Online:2012-07-01 Published:2012-07-01
Contact: Li Shan-Mei E-mail:yma820203@163.com
Supported by:
Project supported by the National Natural Science Foundation of China (Grant No. 61039001).

摘要/Abstract

摘要： Air traffic is a typical complex system, in which movements of traffic components (pilots, controllers, equipments, and environments), especially airport arrival and departure traffic, form complicated spatial and temporal dynamics. The fluctuations of airport arrival and departure traffic are studied from the point of view of networks as the special correlation between different airports. Our collected flow volume data on the time-dependent activity of US airport arrival and departure traffic indicate that the coupling between the average flux and the fluctuation on individual airport obeys a certain scaling law with a wide variety of scaling exponents between 1/2 and 1. These scaling phenomena can explain the interaction between the airport internal dynamics (e.g. queuing at airports, ground delay program, traffic following in flying) and change in the external (network-wide) traffic demand (e.g. the every day increase of traffic amount during peak hours), allowing us to further understand the mechanisms governing the transportation system collective behaviour. We separate the internal dynamics from the external fluctuations using scaling law which is helpful for us to systematically determine the origin of fluctuations in airport arrival and departure traffic, uncovering their collective dynamics. Hot spot features are observed in airport traffic data as the dynamical inhomogeneity in the fluxes of individual airports. The intrinsic characteristics of airport arrival and departure traffic under severe weather are discussed as well.

关键词: air traffic network, fluctuations, scaling law, hot spot

Abstract: Air traffic is a typical complex system, in which movements of traffic components (pilots, controllers, equipments, and environments), especially airport arrival and departure traffic, form complicated spatial and temporal dynamics. The fluctuations of airport arrival and departure traffic are studied from the point of view of networks as the special correlation between different airports. Our collected flow volume data on the time-dependent activity of US airport arrival and departure traffic indicate that the coupling between the average flux and the fluctuation on individual airport obeys a certain scaling law with a wide variety of scaling exponents between 1/2 and 1. These scaling phenomena can explain the interaction between the airport internal dynamics (e.g. queuing at airports, ground delay program, traffic following in flying) and change in the external (network-wide) traffic demand (e.g. the every day increase of traffic amount during peak hours), allowing us to further understand the mechanisms governing the transportation system collective behaviour. We separate the internal dynamics from the external fluctuations using scaling law which is helpful for us to systematically determine the origin of fluctuations in airport arrival and departure traffic, uncovering their collective dynamics. Hot spot features are observed in airport traffic data as the dynamical inhomogeneity in the fluxes of individual airports. The intrinsic characteristics of airport arrival and departure traffic under severe weather are discussed as well.

Key words: air traffic network, fluctuations, scaling law, hot spot

中图分类号: (Complex systems)

89.75.-k

89.75.Da (Systems obeying scaling laws) 05.40.-a (Fluctuation phenomena, random processes, noise, and Brownian motion)

李善梅, 徐肖豪, 孟令航 . Fluctuations in airport arrival and departure traffic: A network analysis[J]. 中国物理B, 2012, 21(8): 88901-088901.

Li Shan-Mei (李善梅), Xu Xiao-Hao (徐肖豪), Meng Ling-Hang (孟令航 ). Fluctuations in airport arrival and departure traffic: A network analysis[J]. Chin. Phys. B, 2012, 21(8): 88901-088901.

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Fluctuations in airport arrival and departure traffic: A network analysis

Fluctuations in airport arrival and departure traffic: A network analysis

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