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Air traffic management safety challenges [PDF]
, 2007 The primary goal of the Air Traffic Management (ATM) system is to control accident risk. ATM safety has improved over the decades for many reasons, from better equipment to additional safety defences.
Brooker, Peter
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Air Traffic Safety: continued evolution or a new Paradigm. [PDF]
, 2007 The context here is Transport Risk Management. Is the philosophy of Air Traffic Safety different from other modes of transport? – yes, in many ways, it is.
Brooker, Peter
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Air traffic control safety indicators: what is achievable? [PDF]
, 2006 European Air Traffic Control is extremely safe. The drawback to this safety record is that it is very difficult to estimate what the ‘underlying’ accident rate for mid-air collisions is now, or to detect any changes over time.
Brooker, Peter
core +7 more sources
Air traffic control automation: for humans or people? [PDF]
, 2005 Are air traffic controllers humans or people? At first sight, this seems a very odd question, given that ‘humans’ and ‘people’ are near-synonyms in the dictionary and everyday usage.
Brooker, Peter
core +7 more sources
Untangling complexity in ASEAN air traffic management through time-varying queuing models
, 2023 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
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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
Trajectory Prediction of Target Aircraft Based on HPSO-TPFENN Neural Network
Xibei Gongye Daxue Xuebao, 2019 Trajectory prediction plays an important role in modern air combat. Aiming at the large degree of modern simplification, low prediction accuracy, poor authenticity and reliability of data sample in traditional methods, a trajectory prediction method ...
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
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