Review on artificial intelligence techniques for improving representative air traffic management capability
J Tang, G Liu, Q Pan - Journal of Systems Engineering and …, 2022 - ieeexplore.ieee.org
The use of artificial intelligence (AI) has increased since the middle of the 20th century, as
evidenced by its applications to a wide range of engineering and science problems. Air …
evidenced by its applications to a wide range of engineering and science problems. Air …
Aircraft deconfliction with speed regulation: new models from mixed-integer optimization
Detecting and solving aircraft conflicts, which occur when aircraft sharing the same airspace
are too close to each other according to their predicted trajectories, is a crucial problem in …
are too close to each other according to their predicted trajectories, is a crucial problem in …
Ant colony optimization for air traffic conflict resolution
The n aircraft conflict resolution problem is highly combinatorial and can be optimally solved
using classical mathematical optimisation techniques only for small problems involving less …
using classical mathematical optimisation techniques only for small problems involving less …
Simultaneous optimization of artificial neural networks for financial forecasting
Artificial neural networks (ANNs) have been popularly applied for stock market prediction,
since they offer superlative learning ability. However, they often result in inconsistent and …
since they offer superlative learning ability. However, they often result in inconsistent and …
[HTML][HTML] Study on the resolution of multi-aircraft flight conflicts based on an IDQN
SUI Dong, XU Weiping, K Zhang - Chinese Journal of Aeronautics, 2022 - Elsevier
With the rapid growth of flight flow, the workload of controllers is increasing daily, and
handling flight conflicts is the main workload. Therefore, it is necessary to provide more …
handling flight conflicts is the main workload. Therefore, it is necessary to provide more …
Multiobjective optimization for aircraft conflict resolution. A metaheuristic approach
A Alonso-Ayuso, LF Escudero… - European Journal of …, 2016 - Elsevier
The conflict resolution problem in Air Traffic Management is tackled in this paper by using a
mixed integer linear approximation to a Mixed Integer Nonlinear Optimization (MINO) model …
mixed integer linear approximation to a Mixed Integer Nonlinear Optimization (MINO) model …
A VNS metaheuristic for solving the aircraft conflict detection and resolution problem by performing turn changes
A Alonso-Ayuso, LF Escudero… - Journal of Global …, 2015 - Springer
Abstract The aircraft Conflict Detection and Resolution (CDR) problem in air traffic
management consists of finding a new configuration for a set of aircraft such that conflict …
management consists of finding a new configuration for a set of aircraft such that conflict …
[PDF][PDF] 无人机感知与规避: 概念, 技术与系统
吕洋, 康童娜, 潘泉, 赵春晖, 胡劲文 - 中国科学: 信息科学, 2019 - researchgate.net
摘要无人机感知与规避技术是实现未来无人机空域集成应用的核心技术之一,
也是无人机自主化, 智能化的重要标志. 近年来无人机感知与规避相关政策法规 …
也是无人机自主化, 智能化的重要标志. 近年来无人机感知与规避相关政策法规 …
Application of DDPG-based collision avoidance algorithm in air traffic control
H Wen, H Li, Z Wang, X Hou… - 2019 12th International …, 2019 - ieeexplore.ieee.org
In order to avoid conflicts in the air traffic scenario, this paper proposed a collision avoidance
method based on deep deterministic policy gradient (DDPG). Before the entering aircraft …
method based on deep deterministic policy gradient (DDPG). Before the entering aircraft …
An exact multi-objective mixed integer nonlinear optimization approach for aircraft conflict resolution
An exact mixed integer nonlinear optimization (MINO) model is presented for tackling the
aircraft conflict detection and resolution problem in air traffic management. Given a set of …
aircraft conflict detection and resolution problem in air traffic management. Given a set of …