Methods of conflict probability estimation and decision making for air traffic management

This research addresses the issue of conflict detection in Air Traffic Control (ATC) and in Airborne Separation Assurance System (ASAS) domains. Stochastic methods of conflict situation detection and conflict probability evaluation are presented. These methods can be used for air traffic conflict a...

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Main Authors: Vitaly Babak, Volodymyr Kharchenko, Volodymyr Vasylyev
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2006-03-01
Series:Aviation
Subjects:
Online Access:https://journals.vgtu.lt/index.php/Aviation/article/view/7380
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spelling doaj-8e5277315d1748f09001871fdd1860bc2021-07-02T01:16:06ZengVilnius Gediminas Technical UniversityAviation1648-77881822-41802006-03-0110110.3846/16487788.2006.9635920Methods of conflict probability estimation and decision making for air traffic managementVitaly Babak0Volodymyr Kharchenko1Volodymyr Vasylyev2National Aviation University, 1 Kosmonavta Komarova Ave., 03058, Kiev, UkraineNational Aviation University, 1 Kosmonavta Komarova Ave., 03058, Kiev, UkraineNational Aviation University, 1 Kosmonavta Komarova Ave., 03058, Kiev, Ukraine This research addresses the issue of conflict detection in Air Traffic Control (ATC) and in Airborne Separation Assurance System (ASAS) domains. Stochastic methods of conflict situation detection and conflict probability evaluation are presented. These methods can be used for air traffic conflict alert and avoidance systems for mid‐range monitoring of air traffic and for flight safety. The mathematical formulation of the problem and the procedure of evaluation are presented. Two methods are introduced. One is based on fast statistical simulation of predicted violations of safe separation standards, and the other gives a closed‐form analytic expression that can be applied to numerical evaluation methods. The next method proposed is a method of sequential evaluation of decision‐making time limit to prevent a dangerous approach of the aircraft for short‐range monitoring. The problem is solved by assuming that the estimation and prediction of trajectory are based on the spline‐function method. The evaluation of the boundary instants for decision‐making is achieved by solving the derived boundary equation for fixed decision‐making distance. The distinguishing feature of this method is transformation of a confidence interval of predicted distance to a confidence interval of predicted time for estimation of the decision‐making time limit. First Published Online: 14 Oct 2010 https://journals.vgtu.lt/index.php/Aviation/article/view/7380air traffic managementconflict detectionconflict probabilityconfidence intervaldecision making
collection DOAJ
language English
format Article
sources DOAJ
author Vitaly Babak
Volodymyr Kharchenko
Volodymyr Vasylyev
spellingShingle Vitaly Babak
Volodymyr Kharchenko
Volodymyr Vasylyev
Methods of conflict probability estimation and decision making for air traffic management
Aviation
air traffic management
conflict detection
conflict probability
confidence interval
decision making
author_facet Vitaly Babak
Volodymyr Kharchenko
Volodymyr Vasylyev
author_sort Vitaly Babak
title Methods of conflict probability estimation and decision making for air traffic management
title_short Methods of conflict probability estimation and decision making for air traffic management
title_full Methods of conflict probability estimation and decision making for air traffic management
title_fullStr Methods of conflict probability estimation and decision making for air traffic management
title_full_unstemmed Methods of conflict probability estimation and decision making for air traffic management
title_sort methods of conflict probability estimation and decision making for air traffic management
publisher Vilnius Gediminas Technical University
series Aviation
issn 1648-7788
1822-4180
publishDate 2006-03-01
description This research addresses the issue of conflict detection in Air Traffic Control (ATC) and in Airborne Separation Assurance System (ASAS) domains. Stochastic methods of conflict situation detection and conflict probability evaluation are presented. These methods can be used for air traffic conflict alert and avoidance systems for mid‐range monitoring of air traffic and for flight safety. The mathematical formulation of the problem and the procedure of evaluation are presented. Two methods are introduced. One is based on fast statistical simulation of predicted violations of safe separation standards, and the other gives a closed‐form analytic expression that can be applied to numerical evaluation methods. The next method proposed is a method of sequential evaluation of decision‐making time limit to prevent a dangerous approach of the aircraft for short‐range monitoring. The problem is solved by assuming that the estimation and prediction of trajectory are based on the spline‐function method. The evaluation of the boundary instants for decision‐making is achieved by solving the derived boundary equation for fixed decision‐making distance. The distinguishing feature of this method is transformation of a confidence interval of predicted distance to a confidence interval of predicted time for estimation of the decision‐making time limit. First Published Online: 14 Oct 2010
topic air traffic management
conflict detection
conflict probability
confidence interval
decision making
url https://journals.vgtu.lt/index.php/Aviation/article/view/7380
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AT volodymyrkharchenko methodsofconflictprobabilityestimationanddecisionmakingforairtrafficmanagement
AT volodymyrvasylyev methodsofconflictprobabilityestimationanddecisionmakingforairtrafficmanagement
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