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.
|Title of host publication||Spatially-Temporal Interdependencies for the Aerial Ecosystem Identification|
|Number of pages||8|
|Publication status||Published - 1 Dec 2016|
|Name||Procedia Computer Science|
Bibliographical notePublisher Copyright:
© 2017 The Authors.
Copyright 2017 Elsevier B.V., All rights reserved.
- Decision support tools
- Intersection point
- Look-ahead time
- State space analysis