Flight Deck Automation Support with Dynamic 4D Trajectory Management for ACAS: AUTOFLY-AID

Koyuncu, Emre; Garcia Gonzalez, Eduardo Jose y Inalhan, Gokhan (2012). Flight Deck Automation Support with Dynamic 4D Trajectory Management for ACAS: AUTOFLY-AID. En: "2012 Integrated Communications, Navigation and Surveillance Conference (ICNS)", 27-26 Apr, Whashington. ISBN 978-1-4673-1900-3.

Descripción

Título: Flight Deck Automation Support with Dynamic 4D Trajectory Management for ACAS: AUTOFLY-AID
Autor/es:
  • Koyuncu, Emre
  • Garcia Gonzalez, Eduardo Jose
  • Inalhan, Gokhan
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 2012 Integrated Communications, Navigation and Surveillance Conference (ICNS)
Fechas del Evento: 27-26 Apr
Lugar del Evento: Whashington
Título del Libro: 2012 Integrated Communications, Navigation and Surveillance Conference (ICNS)
Fecha: 2012
ISBN: 978-1-4673-1900-3
Materias:
Escuela: E.T.S.I. Aeronáuticos (UPM) [antigua denominación]
Departamento: Infraestructura, Sistemas Aeroespaciales y Aeropuertos [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

AUTOFLY-Aid Project aims to develop and demonstrate novel automation support algorithms and tools to the flight crew for flight critical collision avoidance using “dynamic 4D trajectory management”. The automation support system is envisioned to improve the primary shortcomings of TCAS, and to aid the pilot through add-on avionics/head-up displays and reality augmentation devices in dynamically evolving collision avoidance scenarios. The main theoretical innovative and novel concepts to be developed by AUTOFLY-Aid Project are a) design and development of the mathematical models of the full composite airspace picture from the flight deck’s perspective, as seen/measured/informed by the aircraft flying in SESAR 2020 b) design and development of a dynamic trajectory planning algorithm that can generate at real-time (on the order of seconds) flyable (i.e. dynamically and performance-wise feasible)alternative trajectories across the evolving stochastic composite airspace picture (which includes new conflicts, blunder risks, terrain and weather limitations) and c) development and testing of the Collision Avoidance Automation Support System on a Boeing 737 NG FNPT II Flight Simulator with synthetic vision and reality augmentation while providing the flight crew with quantified and visual understanding of collision risks in terms of time and directions and countermeasures.

Más información

ID de Registro: 20709
Identificador DC: http://oa.upm.es/20709/
Identificador OAI: oai:oa.upm.es:20709
URL Oficial: http://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=19817
Depositado por: Memoria Investigacion
Depositado el: 23 Nov 2016 11:17
Ultima Modificación: 23 Nov 2016 11:17
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