Results 21 to 30 of about 12,423,762 (176)
Untangling complexity in ASEAN air traffic management through time-varying queuing models
Free route airspace allows airspace users to freely plan a route in en-route airspaces within certain restrictions. It is anticipated to offer the benefit of fuel saving and operational flexibility.
Schultz, Michael +7 more
core +1 more source
An ADS-B Information-Based Collision Avoidance Methodology to UAV
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
Two-Layer Optimization Algorithm for Multi-UAV Conflict Resolution considering Individual Fairness
In order to solve the unfair individual payment costs problem in the low-altitude unmanned aerial vehicle (UAV) conflict resolution process, a multi-UAV conflict resolution algorithm based on the cooperative game concept “coalition complaint value” is ...
Xusheng Gan +5 more
doaj +1 more source
Rostering Air Traffic Controllers [PDF]
Abstract Many, if not most, real world scheduling problems fall into the class of NP. Classical, mathematically exact methods when applied to these problems often suffer from scaling issues, that prevent the computation of a solution in reasonable time. Similarly, real world problems can often be characterised by the requirement to dynamically change
openaire +3 more sources
As a useful mathematical tool to solve the multi-attribute decision-making (MADM) problems, Pythagorean hesitant fuzzy set (PHFS) permits decision makers (DMs) to give several evaluation values in membership and non-membership degrees.
Chengxiu Yang +4 more
doaj +1 more source
Air traffic control activity increases attention capacity in air traffic controllers
Abstract Air traffic controllers simultaneously develop complex and multiple tasks in the course of their activities. In this context, concern is raised over the high level of attention needed by these professionals which can ultimately be affected by stress and fatigue.
Ribas, Valdenilson Ribeiro +9 more
openaire +5 more sources
Aiming at the limitation that traditional methods for combat intention recognition of aerial targets are difficult to effectively capture the essential characteristics of intelligence information, we design a novel deep learning method, Panoramic ...
Junjie Xue +4 more
doaj +1 more source
Research on automatic pilot repetition generation method based on deep reinforcement learning
Using computers to replace pilot seats in air traffic control (ATC) simulators is an effective way to improve controller training efficiency and reduce training costs.
Weijun Pan +4 more
doaj +1 more source
Multi-UAV Cooperative Offensive Combat Intelligent Planning Based on Deep Reinforcement Learning
Unmanned aerial vehicle(UAV)with the advantages of high effectiveness and flexible autonomy has gradually replaced manned aircraft to combat,and multi-UAV cooperative combat mission planning becomes the hot research issue.An end-to-end cooperative attack
LI Junsheng +4 more
doaj +1 more source
Reconnaissance Mission Conducted by UAV Swarms Based on Distributed PSO Path Planning Algorithms
Reconnaissance mission has a wide application in both civil and military fields, which provides intelligence and basis for the following decision-making to accomplish certain goals.
Yubing Wang +5 more
doaj +1 more source

