A current ground based safety net called Controlled Airspace infringement Tool (CAIT) is used by Air Traffic Controllers (ATCs). It warns them if any aircraft within uncontrolled airspace penetrates the Controlled airspace (CAS) without an advance clearance from the ATC. This penetration or ‘Infringement’ is considered as a major concern to ATCs where it may cause a possible conflict or mid- air collision. A conflict is an event which one aircraft loses its minimum separation to another. The downside of CAIT is that it only warns ATCs if the aircraft has already infringed CAS, this gives the ATC minimum time to react and avoid any conflict. In this research, we investigate a model which warns ATCs of possible future infringements accurately...
This paper presents an efficient method for estimating the probability of conflict between air traff...
The provision of air traffic management services is highly dependent on the ability of controllers t...
This paper presents a real-time conflict detection and resolution algorithm based on a probabilistic...
Recent years have seen an increase in reported unmanned aerial systems (UAS) incursion into terminal...
Given the ongoing interest in the application of Machine Learning (ML) techniques, the development o...
The main goal of this article is to analyse the probability of detecting potential conflicts by the ...
Thesis (Master's)--University of Washington, 2015With the scheduled 30 September 2015 integration of...
Air traffic systems have long relied on automated short-term conflict prediction algorithms to warn ...
Air traffic systems have long relied on automated short-term conflict prediction algorithms to warn ...
Air traffic is projected to grow in the next few years due to the persistently increasing demand for...
The availability of off the shelf, easy to control, unmanned aerial systems (UAS) on the market has ...
A performance theory for conflict detection in air traffic control is presented that specifies how c...
In this study, I propose a systematic method of detecting aircraft deviation due to air traffic cont...
In view of the paramount importance of safety in the Air Traffic Management system, EUROCONTROL has ...
Purpose – The purpose of this study is to establish a systematic framework to characterise the safet...
This paper presents an efficient method for estimating the probability of conflict between air traff...
The provision of air traffic management services is highly dependent on the ability of controllers t...
This paper presents a real-time conflict detection and resolution algorithm based on a probabilistic...
Recent years have seen an increase in reported unmanned aerial systems (UAS) incursion into terminal...
Given the ongoing interest in the application of Machine Learning (ML) techniques, the development o...
The main goal of this article is to analyse the probability of detecting potential conflicts by the ...
Thesis (Master's)--University of Washington, 2015With the scheduled 30 September 2015 integration of...
Air traffic systems have long relied on automated short-term conflict prediction algorithms to warn ...
Air traffic systems have long relied on automated short-term conflict prediction algorithms to warn ...
Air traffic is projected to grow in the next few years due to the persistently increasing demand for...
The availability of off the shelf, easy to control, unmanned aerial systems (UAS) on the market has ...
A performance theory for conflict detection in air traffic control is presented that specifies how c...
In this study, I propose a systematic method of detecting aircraft deviation due to air traffic cont...
In view of the paramount importance of safety in the Air Traffic Management system, EUROCONTROL has ...
Purpose – The purpose of this study is to establish a systematic framework to characterise the safet...
This paper presents an efficient method for estimating the probability of conflict between air traff...
The provision of air traffic management services is highly dependent on the ability of controllers t...
This paper presents a real-time conflict detection and resolution algorithm based on a probabilistic...