A Joint Optimization Method for Cooperative Detection Resources Based on Channel Capacity
International Journal of Aerospace Engineering, 2022 Aiming at the resource optimization problem in the cooperative detection task, the objective function is constructed based on the channel capacity, and the artificial bee colony (ABC) algorithm is improved to realize the joint optimization of the UAV ...
Wenda Yang +3 more
doaj +1 more source
Research on airspace sector optimization based on Voronoi diagram and improved K-means algorithm
Xibei Gongye Daxue Xuebao, 2023 Sector partition is an important task of air traffic control, and a reasonable sector partition can improve the utilization rate of airspace and protect the flight safety of aircrafts.
LIN Fugen +3 more
doaj +1 more source
Conflict Resolution Strategy Based on Flight Conflict Network Optimal Dominating Set
International Journal of Aerospace Engineering, 2022 Aiming at the problem that the air traffic flow is increasing year by year and the flight conflicts are difficult to be deployed, we take aircraft as the node and established a flight conflict network based on the flight conflict relationship between ...
Minggong Wu +4 more
doaj +1 more source
A Spatial–Temporal Network Perspective for the Propagation Dynamics of Air Traffic Delays
, 2021 Intractable delays occur in air traffic due to the imbalance between ever-increasing air traffic demand and limited airspace capacity. As air traffic is associated with complex air transport systems, delays can be magnified and propagated throughout ...
Qing Cai, S. Alam, V. Duong
semanticscholar +1 more source
A hierarchical reinforcement learning method for missile evasion and guidance
Scientific Reports, 2022 This paper proposes an algorithm for missile manoeuvring based on a hierarchical proximal policy optimization (PPO) reinforcement learning algorithm, which enables a missile to guide to a target and evade an interceptor at the same time.
Mengda Yan +4 more
doaj +1 more source
Invulnerability Analysis and Optimization Strategy of Sector Network Using Cascading Failure Model
Complexity, 2022 Resolving the challenge of flight delays caused by air traffic congestion renders it necessary to explore the mode of congestion propagation. By applying complex network theory, this article establishes a complex network structure where airspace sectors ...
Haijun Liang, Jingyu Lu, Nan Chen
doaj +1 more source
Factored Multi-Agent Soft Actor-Critic for Cooperative Multi-Target Tracking of UAV Swarms
Drones, 2023 In recent years, significant progress has been made in the multi-target tracking (MTT) of unmanned aerial vehicle (UAV) swarms. Most existing MTT approaches rely on the ideal assumption of a pre-set target trajectory. However, in practice, the trajectory
Longfei Yue +5 more
doaj +1 more source
Deep Reinforcement Learning for UAV Intelligent Mission Planning
Complexity, 2022 Rapid and precise air operation mission planning is a key technology in unmanned aerial vehicles (UAVs) autonomous combat in battles. In this paper, an end-to-end UAV intelligent mission planning method based on deep reinforcement learning (DRL) is ...
Longfei Yue +4 more
doaj +1 more source
An ADS-B Information-Based Collision Avoidance Methodology to UAV
Actuators, 2023 A collision avoidance method that is specifically tailored for UAVs (unmanned aerial vehicles) operating in converging airspace is proposed. The method is based on ADS-B messages and it aims to detect and resolve conflicts between UAVs.
Liang Tong +4 more
doaj +1 more source
Machine Learning Aided Air Traffic Flow Analysis Based on Aviation Big Data
IEEE Transactions on Vehicular Technology, 2020 Timely and efficient air traffic flow management (ATFM) is a key issue in future dense air traffic. The emerging demands for unmanned aerial vehicles and general aviation aircraft aggravate the burden of the ATFM.
Guan Gui +4 more
semanticscholar +1 more source