Complexity in the Optimisation of ATM Performance Metrics

Asante, Lawrence Kyei y Saez Nieto, Francisco Javier (2012). Complexity in the Optimisation of ATM Performance Metrics. En: "2nd International Conference on Application and Theory of Automation in Command and Control Systems", May 29-31, 2012, Imperial College, London, UK. pp. 162-165.

Descripción

Título: Complexity in the Optimisation of ATM Performance Metrics
Autor/es:
  • Asante, Lawrence Kyei
  • Saez Nieto, Francisco Javier
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2nd International Conference on Application and Theory of Automation in Command and Control Systems
Fechas del Evento: May 29-31, 2012
Lugar del Evento: Imperial College, London, UK
Título del Libro: ATACCS '12 Proceedings of the 2nd International Conference on Application and Theory of Automation in Command and Control Systems
Fecha: Mayo 2012
Materias:
Palabras Clave Informales: performance metrics, optimisation, ATM
Escuela: E.T.S.I. Aeronáuticos (UPM) [antigua denominación]
Departamento: Infraestructura, Sistemas Aeroespaciales y Aeropuertos [hasta 2014]
Licencias Creative Commons: Ninguna

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Resumen

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.

Más información

ID de Registro: 21380
Identificador DC: http://oa.upm.es/21380/
Identificador OAI: oai:oa.upm.es:21380
Depositado por: Mr Lawrence Kyei Asante
Depositado el: 21 Oct 2013 06:42
Ultima Modificación: 21 Abr 2016 11:57
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