Abstract
Present research in Air Traffic Management (ATM) is going towards improvement of airspace capacity, accessibility and efficiency while reducing the management costs and increasing the safety performance indicators. A 4D contract between an Airspace User (AU) and Air Traffic Control, in which aircraft should be located at a given time on a particular waypoint, opens a wide scope of applications for decision support tools (DSTs). This paper introduces a new modeling approach for a smooth safety nets transition within the high en-route airspace operations. The approach is based on a causal state space search as a response to some shortages in the collision avoidance events, resulted from a limited logic of Traffic alert and Collision Avoidance System (TCAS). It considers Enhanced TCAS (E-TCAS) that relies on an extended time horizon at the separation management level to define functionalities that will provide the most optimal resolution trajectories and remove the deadlock scenarios.
Original language | English |
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Title of host publication | Spatially-Temporal Interdependencies for the Aerial Ecosystem Identification |
Pages | 242-249 |
Number of pages | 8 |
Volume | 104 |
DOIs | |
Publication status | Published - 1 Dec 2016 |
Publication series
Name | Procedia Computer Science |
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Publisher | Elsevier |
ISSN (Print) | 1877-0509 |
Bibliographical note
Publisher Copyright:© 2017 The Authors.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
Keywords
- Deadlock
- Decision support tools
- Ecosystem
- Intersection point
- Look-ahead time
- State space analysis