An empirical investigation of the effects of controller experience on conflict detection ability under free flight

2004 ◽  
Author(s):  
Ashley Nunes
Keyword(s):  
Empirical Investigation ◽  
Conflict Detection ◽  
Free Flight ◽  
Detection Ability

Aircraft Conflict Risk Assessment Based on Particle Filter

2014 ◽  
Vol 602-605 ◽  
pp. 3416-3420
Author(s):  
Wen Peng Zhai ◽  
Hao Wu ◽  
Lan Ma
Keyword(s):  
Particle Filter ◽  
Early Stage ◽  
Random Perturbation ◽  
Kinematic Model ◽  
Detection Algorithm ◽  
Conflict Detection ◽  
Collision Risk ◽  
Free Flight ◽  
Risk Probability ◽  
Particle Filter Algorithm

Free flight is a method to resolve airspace congestion problem, but raise safety problem. In this paper, with the influence of wind and the presence of positioning error, the model of conflict detection based on particle filter algorithm is presented. According to the flight kinematic model with the influence of random factors, the target trajectory is generated. The particle filter algorithm is used for estimating the real flight trajectory. The flight collision risk probability is calculated. By simulation calculation, the conflict detection with particle filter algorism improves the accuracy of collision risk probability estimation. The results show that the particle filter conflict detection algorithm reduces the estimation and conflict detection error caused by random perturbation. The method can be applied to identify conflict in the early stage in the study of flight free flight.

Conflict Detection and Resolution for Free Flight

1997 ◽  
Vol 5 (3) ◽  
pp. 181-212 ◽  
Author(s):  
Jimmy Krozel ◽  
Mark Peters
Keyword(s):  
Conflict Detection ◽  
Free Flight ◽  
Conflict Detection And Resolution

scholarly journals A SVM Approach of Aircraft Conflict Detection in Free Flight

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Xu-rui Jiang ◽  
Xiang-xi Wen ◽  
Ming-gong Wu ◽  
Ze-kun Wang ◽  
Xi Qiu
Keyword(s):  
False Alarm ◽  
Sampling Technique ◽  
Conflict Detection ◽  
Mapping Method ◽  
Detection Methods ◽  
Support Vector ◽  
Sigmoid Function ◽  
Free Flight ◽  
Potential Conflict ◽  
Look Ahead

Probabilistic conflict detection methods typically require high computational burden to deal with complex multiaircraft conflict detection. In this article, aircraft conflict detection is considered as a binary classification problem; therefore, it can be solved by a pattern recognition method. A potential conflict would be identified, as long as its flight data features are extracted and fed to a classifier which has been trained by a large number of flight datasets. Based on this, a new method based on support vector machine (SVM) is employed to detect multiaircraft conflict in “Free Flight” airspace and to estimate the conflict probability. For that purpose, the current positions, velocity vectors, and predicted look-ahead time are selected as detection factors, and the detection model is established by SVM to detect aircraft conflict within look-ahead time during short and medium terms. Moreover, conflict probabilities are determined by the sigmoid function mapping method. Nevertheless, false alarm rate is always a first and foremost problem that troubles air traffic controllers. For the purpose of reducing false alarm rates, Synthetic Minority Over-sampling Technique (SMOTE) method is used to handle imbalanced datasets. Extensive simulation results are presented to illustrate the rationality and accuracy of this method.

Research on Algorithm of Conflict Detection and Resolution in Three-Dimension Free Flight Based on Genetic Algorithms

2011 ◽  
Vol 121-126 ◽  
pp. 4586-4590
Author(s):  
Hong Ping Shu ◽  
Kui Li ◽  
Liang Cao
Keyword(s):  
Mathematical Model ◽  
Genetic Algorithms ◽  
Fuel Consumption ◽  
Conflict Detection ◽  
Three Dimension ◽  
Free Flight ◽  
3D Environment ◽  
Direct Flight ◽  
Conflict Detection And Resolution

The research 3d environment of Free Flight is discussed, the substance of the conflict detection and resolution in 3d Free Flight based on genetic algorithms is studied, and a mathematical model is constructed in the paper. The emulation results of applications show that the genetic algorithms is suitable and positive to detect and resolute the conflict in 3d Free Flight. The flight courses of aircrafts, which are as close as possible to the theoretical direct flight course of the least-fuel-consumption, can be generated by genetic algorithms.

An ensemble approach for conflict detection in Free Flight by data mining

2009 ◽  
Vol 17 (3) ◽  
pp. 298-317 ◽  
Author(s):  
Sameer Alam ◽  
Kamran Shafi ◽  
Hussein A. Abbass ◽  
Michael Barlow
Keyword(s):  
Data Mining ◽  
Conflict Detection ◽  
Free Flight ◽  
Ensemble Approach
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