AUTOFLY-Aid: Flight Deck Automation Support with Dynamic 4D Trajectory Management for Responsive and Adaptive Airborne Collision Avoidance

Koyuncu, Emre and Garcia Gonzalez, Eduardo Jose and Inalhan, Gokhan (2012). AUTOFLY-Aid: Flight Deck Automation Support with Dynamic 4D Trajectory Management for Responsive and Adaptive Airborne Collision Avoidance. In: "ATACCS’2012", 29-31 May 2012, London, UK. ISBN 978-2-917490-20-4.

Description

Title: AUTOFLY-Aid: Flight Deck Automation Support with Dynamic 4D Trajectory Management for Responsive and Adaptive Airborne Collision Avoidance
Author/s:
  • Koyuncu, Emre
  • Garcia Gonzalez, Eduardo Jose
  • Inalhan, Gokhan
Item Type: Presentation at Congress or Conference (Article)
Event Title: ATACCS’2012
Event Dates: 29-31 May 2012
Event Location: London, UK
Title of Book: ATACCS’2012
Date: 2012
ISBN: 978-2-917490-20-4
Subjects:
Faculty: E.T.S.I. Aeronáuticos (UPM)
Department: Infraestructura, Sistemas Aeroespaciales y Aeropuertos [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 20765
DC Identifier: http://oa.upm.es/20765/
OAI Identifier: oai:oa.upm.es:20765
Deposited by: Memoria Investigacion
Deposited on: 25 Nov 2013 16:33
Last Modified: 22 Sep 2014 11:21
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