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Memorias de investigación
Capítulo de libro:
CRM Model to Estimate Probability of Potential Collision for Aircraft Encounters in High Density Scenarios Using Stored Data Tracks
Año:2012
Áreas de investigación
  • Ingeniería aeronaútica,
  • Seguridad aérea,
  • Control de vuelo,
  • Gestión del tráfico aéreo
Datos
Descripción
Collision risk estimation in airspace has been studied for many years using different approaches based on different assumptions. THe results of this paper supports the fact that the risk is not the same for all the proximate events on which aircraft pass closer than the prescribed horizontal and vertical separation minima.The proposed approach aims at providing an individual probability of potential collision (severity) of each individual encounter, based on the kinematics of the encounter and the minimum lateral and vertical separation at the predicted CPA. The formulation presented allows not only the estimation of the severity for each individual potential aircraft encounter, but also the expected probability of collision for all aircraft pairs potentially violating the separation standards, in a given en route airspace scenario and for an aircraft population. In order to evaluate the human factors implications of the research findings, results are applied to stored aircraft tracks that have flown within MUAC Airspace.
Internacional
Si
DOI
Edición del Libro
Editorial del Libro
CRC Press 2012 Steven J. Landry, Purdue University, West Lafayette, Indiana, USA
ISBN
978-1-4398-7116-4
Serie
Título del Libro
Advances in Human Aspects of Aviation
Desde página
385
Hasta página
394
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Rosa Maria Arnaldo Valdes (UPM)
  • Autor: Fco. Javier Saez Nieto (UPM)
  • Autor: Eduardo Jose Garcia Gonzalez (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Navegación Aérea
  • Departamento: Infraestructura, Sistemas Aeroespaciales y Aeropuertos
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