Complexity Science in Air Traffic Management (PDF)
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Air Traffic Management is simply too complex to address through classical approaches such as system engineering and human factors. In order to change this, complexity science has to be embraced as ATM's 'best friend'. The applicability of complexity science paradigms to the analysis and modelling of future operations is driven by the need to accommodate long-term air traffic growth within an already-saturated ATM infrastructure. Due to its intrinsic value as an exposition of applied complexity science and applied research, Complexity Science in Air Traffic Management also appeals beyond the transport domain.
Damián Rivas received his first degree in Aeronautical Engineering from the Polytechnic University of Madrid and has a PhD from Case Western Reserve University (Cleveland, Ohio). He is currently Professor in the Department of Aerospace Engineering of the Universidad de Sevilla, teaching flight mechanics and air navigation; Director of the Group of Aerospace Engineering of the University of Seville; scientific coordinator of the SESAR WP-E Complex-World Network; and a member of the programme committee of the annual SESAR Innovation Days conferences. His main research interests are aircraft trajectory optimisation, aircraft conflict detection and resolution, and uncertainty propagation in air traffic management.
- 2016, 188 Seiten, Englisch
- Herausgegeben: Andrew Cook, Damián Rivas
- Verlag: Taylor & Francis
- ISBN-10: 1317162730
- ISBN-13: 9781317162735
- Erscheinungsdatum: 03.06.2016
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- Größe: 5.14 MB
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