AIAA's 3rd Annual Aviation Technology, Integration, and Operations (ATIO) Forum 2003
DOI: 10.2514/6.2003-6725
|View full text |Cite
|
Sign up to set email alerts
|

Airborne Conflict Resolution for Flow-Restricted Transition Airspace

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2011
2011
2023
2023

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 7 publications
0
3
0
Order By: Relevance
“…Some of these methods include tactical approaches focusing on resolving immediate conflicts, with limited consideration of future postconflict routing and planning. Most of the methods are designed for enroute sectors and based on Optimization approaches to treat the CD&CR problem such as; Genetic Algorithms as in [20] where autonomous aircraft are enable to maneuver freely while maintaining separation assurance from traffic and area hazards; Other CR algorithm, which uses a combination of patternbased maneuvers and Genetic Algorithms to achieve resolution, is presented in [24]; The Ant Colony Optimization (ACO) algorithm has also been applied to solve problems involving autonomous aircraft by applying the path planning problem, [8]; or The developed a mathematical model is formulated as a mixed integer linear program in [23] using concepts based on speed control and flight-level assignments for conflict resolution over predefined routes; other approach applying Linear Programming is [21] where a system of multiple aircraft is deconflicted by applying the path planning problem among given waypoints. Semi-definite Programming is utilized in [11] where each aircraft proposes its desired heading while a centralized air traffic control authority resolves any conflict arising between aircraft.…”
Section: Previous Related Workmentioning
confidence: 99%
“…Some of these methods include tactical approaches focusing on resolving immediate conflicts, with limited consideration of future postconflict routing and planning. Most of the methods are designed for enroute sectors and based on Optimization approaches to treat the CD&CR problem such as; Genetic Algorithms as in [20] where autonomous aircraft are enable to maneuver freely while maintaining separation assurance from traffic and area hazards; Other CR algorithm, which uses a combination of patternbased maneuvers and Genetic Algorithms to achieve resolution, is presented in [24]; The Ant Colony Optimization (ACO) algorithm has also been applied to solve problems involving autonomous aircraft by applying the path planning problem, [8]; or The developed a mathematical model is formulated as a mixed integer linear program in [23] using concepts based on speed control and flight-level assignments for conflict resolution over predefined routes; other approach applying Linear Programming is [21] where a system of multiple aircraft is deconflicted by applying the path planning problem among given waypoints. Semi-definite Programming is utilized in [11] where each aircraft proposes its desired heading while a centralized air traffic control authority resolves any conflict arising between aircraft.…”
Section: Previous Related Workmentioning
confidence: 99%
“…A LOS is defined as an event in which the distance between the two aircraft becomes less than 5 nautical miles laterally and 1,000 feet vertically. Many conflict detection and resolution algorithms have been developed with approaches that range from genetic algorithms 2,3 to programming models 4,5 to force fields 6,7 and air traffic control heuristics 7 . One automated capability that is currently being tested and used for large-scale simulations is the Autoresolver, developed by the National Aeronautics and Space Administration (NASA) 9,10 .…”
Section: Introductionmentioning
confidence: 99%
“…The literature has subsequently expanded to include approaches based on genetic algorithms [6][7][8] and arrivaltime constraints.…”
Section: Introductionmentioning
confidence: 99%