Spatially-Temporal Interdependencies for the Aerial Ecosystem Identification

Radanović, Marko; Eroles, Miquel Ángel Piera

doi:10.1016/j.procs.2017.01.131

Cited by 1 publication

(1 citation statement)

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“…Once the conflicts are detected, duration of the conflict intervals is checked by sampling the trajectories with 1-s rate, and comparing the shortest distances between the points of two trajectories at each instant with the SSM criteria (SSM H and SSM V ). When the inter-distance exceeds either SSM H or SSM V (or both) the conflict interval ends in the moment t CP The ecosystem creation procedure has been elaborated in Refs 12 and 22. This algorithm determines all cluster members as surrounding traffic aircraft for which the loss of SSM with any of two conflicting aircraft would occur if this aircraft performs a given avoidance manoeuver at any moment during LAT (Fig.…”

Section: Computational Frameworkmentioning

confidence: 99%

Adaptive aerial ecosystem framework to support tactical conflict resolution

Radanović¹,

Piera²,

Koça³

2018

Aeronaut. j.

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To support a seamless transition between safety net layers in air traffic management, this article examines an extra capacity in the generation of the resolution trajectories, conditioned by future high dense, complex surrounding air traffic scenarios. The aerial ecosystem framework consists of a set of aircraft services inside a digitalised airspace volume, in which amended trajectories could induce a set of safety events such as an induced collision. Those aircraft services strive to the formation of a cost-efficient airborne separation management by exploring the preferred resolutions and actively interacting with each other. This study focuses on the dynamic analysis of a decreasing rate in the number of available resolutions, as well as the ecosystem deadlock event from the identified spatiotemporal interdependencies among the ecosystem aircraft at the separation management level. A deadlock event is characterised by a time instant at which an induced collision could emerge as an effect of an ecosystem aircraft trajectory amendment. Through simulations of two generated ecosystems, extracted from a real traffic scenario, the paper illustrates the relevant properties inside the structure of the ecosystem interdependencies, demonstrates and discusses an available time capacity for the resolution process of the aerial ecosystem.

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Section: Computational Frameworkmentioning

confidence: 99%