Applying complexity science to air traffic management

Abstract

Complexity science is the multidisciplinary study of complex systems. Its marked network orientation lends itself well to transport contexts. Key features of complexity science are introduced and defined, with a specific focus on the application to air traffic management. An overview of complex network theory is presented, with examples of its corresponding metrics and multiple scales. Complexity science is starting to make important contributions to performance assessment and system design: selected, applied air traffic management case studies are explored. The important contexts of uncertainty, resilience and emergent behaviour are discussed, with future research priorities summarised.

Original document

The different versions of the original document can be found in:

• http://dx.doi.org/10.1016/j.jairtraman.2014.09.011 under the license https://creativecommons.org/licenses/by-nc-nd

• http://hdl.handle.net/11585/597093

• http://westminsterresearch.wmin.ac.uk/17116/1/Applying%2520complexity%2520science%2520to%2520air%2520traffic%2520management.pdf

• https://api.elsevier.com/content/article/PII:S0969699714001331?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0969699714001331?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.jairtraman.2014.09.011 under the license cc-by-nc-nd

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http://www.sciencedirect.com/science/article/pii/S0969699714001331,

http://westminsterresearch.wmin.ac.uk/17116,

https://academic.microsoft.com/#/detail/2163618118 under the license https://www.elsevier.com/tdm/userlicense/1.0/