کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4961379 | 1446511 | 2017 | 8 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Spatially-Temporal Interdependencies for the Aerial Ecosystem Identification Spatially-Temporal Interdependencies for the Aerial Ecosystem Identification](/preview/png/4961379.png)
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.
Journal: Procedia Computer Science - Volume 104, 2017, Pages 242-249