Applying complexity science to air traffic management
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 behavior are discussed, with future research priorities summarized.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/31005945
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Cook, Andrew
- Blom, Henk A P
- Lillo, Fabrizio
- Mantegna, Rosario Nunzio
- Miccichè, Salvatore
- Rivas, Damián
- Vázquez, Rafael
- Zanin, Massimiliano
- Publication Date: 2015-1
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 149-158
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Serial:
- Journal of Air Transport Management
- Volume: 42
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 0969-6997
- Serial URL: http://www.sciencedirect.com/science/journal/09696997
Subject/Index Terms
- TRT Terms: Air traffic control; Complex systems; Networks; Performance measurement; Resilience (Materials); Uncertainty
- Subject Areas: Aviation; Operations and Traffic Management; I73: Traffic Control;
Filing Info
- Accession Number: 01551993
- Record Type: Publication
- Files: TRIS
- Created Date: Jan 29 2015 9:20AM