Complexity in the Optimisation of ATM Performance Metrics


Autoria(s): Asante, Lawrence Kyei; Saez Nieto, Francisco Javier
Data(s)

01/05/2012

Resumo

Today's motivation for autonomous systems research stems out of the fact that networked environments have reached a level of complexity and heterogeneity that make their control and management by solely human administrators more and more difficult. The optimisation of performance metrics for the air traffic management system, like in other networked system, has become more complex with increasing number of flights, capacity constraints, environmental factors and safety regulations. It is anticipated that a new structure of planning layers and the introduction of higher levels of automation will reduce complexity and will optimise the performance metrics of the air traffic management system. This paper discusses the complexity of optimising air traffic management performance metrics and proposes a way forward based on higher levels of automation.

Formato

application/pdf

Identificador

http://oa.upm.es/21380/

Idioma(s)

eng

Publicador

E.T.S.I. Aeronáuticos (UPM)

Relação

http://oa.upm.es/21380/1/Complexity_in_Optimisation.pdf

Direitos

(c) Editor/Autor

info:eu-repo/semantics/openAccess

Fonte

ATACCS '12 Proceedings of the 2nd International Conference on Application and Theory of Automation in Command and Control Systems | 2nd International Conference on Application and Theory of Automation in Command and Control Systems | May 29-31, 2012 | Imperial College, London, UK

Palavras-Chave #Aeronáutica
Tipo

info:eu-repo/semantics/conferenceObject

Ponencia en Congreso o Jornada

NonPeerReviewed