Prediction Of Aircraft Trajectories For Air Traffic Control Using Machine Learning Approaches
Download Prediction Of Aircraft Trajectories For Air Traffic Control Using Machine Learning Approaches full books in PDF, epub, and Kindle. Read online free Prediction Of Aircraft Trajectories For Air Traffic Control Using Machine Learning Approaches ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Big Data Analytics for Time-Critical Mobility Forecasting
Author | : George A. Vouros |
Publisher | : Springer Nature |
Total Pages | : 361 |
Release | : 2020-06-23 |
Genre | : Computers |
ISBN | : 303045164X |
This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving entities spread across large geographical areas. It presents state-of-the-art methods for processing, managing, detecting and predicting trajectories and important events related to moving entities, together with advanced visual analytics methods, over multiple heterogeneous, voluminous, fluctuating and noisy data streams from moving entities, correlating them with data from archived data sources expressing e.g. entities’ characteristics, geographical information, mobility patterns, mobility regulations and intentional data. The book is divided into six parts: Part I discusses the motivation and background of mobility forecasting supported by trajectory-oriented analytics, and includes specific problems and challenges in the aviation (air-traffic management) and the maritime domains. Part II focuses on big data quality assessment and processing, and presents novel technologies suitable for mobility analytics components. Next, Part III describes solutions toward processing and managing big spatio-temporal data, particularly enriching data streams and integrating streamed and archival data to provide coherent views of mobility, and storing of integrated mobility data in large distributed knowledge graphs for efficient query-answering. Part IV focuses on mobility analytics methods exploiting (online) processed, synopsized and enriched data streams as well as (offline) integrated, archived mobility data, and highlights future location and trajectory prediction methods, distinguishing between short-term and more challenging long-term predictions. Part V examines how methods addressing data management, data processing and mobility analytics are integrated in big data architectures with distinctive characteristics compared to other known big data paradigmatic architectures. Lastly, Part VI covers important ethical issues that research on mobility analytics should address. Providing novel approaches and methodologies related to mobility detection and forecasting needs based on big data exploration, processing, storage, and analysis, this book will appeal to computer scientists and stakeholders in various application domains.
Proceedings of the International e-Conference on Intelligent Systems and Signal Processing
Author | : Falgun Thakkar |
Publisher | : Springer Nature |
Total Pages | : 799 |
Release | : 2021-08-13 |
Genre | : Technology & Engineering |
ISBN | : 9811621233 |
This book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and postgraduate students across the globe.
Aircraft Trajectories
Author | : North Atlantic Treaty Organization. Advisory Group for Aeronautical Research and Development |
Publisher | : |
Total Pages | : |
Release | : 1987 |
Genre | : |
ISBN | : |
New Innovations in AI, Aviation, and Air Traffic Technology
Author | : Khalid, Saifullah |
Publisher | : IGI Global |
Total Pages | : 552 |
Release | : 2024-07-17 |
Genre | : Transportation |
ISBN | : |
The rapid advancement of technology, along with the increasing complexity of air traffic management present significant challenges in aviation management. As the industry continues to evolve, aviation professionals must stay updated with the latest advancements to ensure safe and efficient operations. However, accessing comprehensive and up-to-date resources can be difficult, leading to a knowledge gap that hinders the industry's progress. New Innovations in AI, Aviation, and Air Traffic Technology offers a solution to the challenges faced by aviation management professionals by providing a comprehensive overview of futuristic research trends in aviation management. Through case studies, simulations, and experimental results, we offer readers a detailed exploration of the latest trends in air traffic management, uncrewed aerial vehicles (UAVs), electric vehicles, and more. By providing a bridge between theory and practice, this book equips aviation professionals with the knowledge and tools needed to navigate and contribute to the rapidly evolving aviation industry.
Proceedings of 10th International Conference on Recent Advances in Civil Aviation
Author | : Oleg Anatolyevich Gorbachev |
Publisher | : Springer Nature |
Total Pages | : 452 |
Release | : 2022-10-19 |
Genre | : Technology & Engineering |
ISBN | : 9811937885 |
The volume comprises proceedings of the 10th International Conference on Recent Advances in Civil Aviation. The contents focus on air traffic control and management, quality control and reliability improvement of radio equipment and avionics, designing and testing aircraft assemblies and mechanisms, reliability improvement of aircraft management systems, aviation enterprise management, etc. There is also emphasis on the current problems and prospects for development of unmanned aircraft systems. This volume will be beneficial to researchers, practitioners, and policy-makers alike.
Aviation Turbulence
Author | : Robert Sharman |
Publisher | : Springer |
Total Pages | : 529 |
Release | : 2016-06-27 |
Genre | : Technology & Engineering |
ISBN | : 331923630X |
Anyone who has experienced turbulence in flight knows that it is usually not pleasant, and may wonder why this is so difficult to avoid. The book includes papers by various aviation turbulence researchers and provides background into the nature and causes of atmospheric turbulence that affect aircraft motion, and contains surveys of the latest techniques for remote and in situ sensing and forecasting of the turbulence phenomenon. It provides updates on the state-of-the-art research since earlier studies in the 1960s on clear-air turbulence, explains recent new understanding into turbulence generation by thunderstorms, and summarizes future challenges in turbulence prediction and avoidance.
2023 Asia-Pacific International Symposium on Aerospace Technology (APISAT 2023) Proceedings
Author | : Song Fu |
Publisher | : Springer Nature |
Total Pages | : 1991 |
Release | : |
Genre | : |
ISBN | : 981974010X |
The Impact of Trajectory Prediction Uncertainty on Reliance Strategy and Trust Attitude in an Automated Air Traffic Management Environment
Author | : Sarah M. Hunt |
Publisher | : |
Total Pages | : 54 |
Release | : 2013 |
Genre | : Air traffic control |
ISBN | : |
Future air traffic environments have the potential to exceed human operator capabilities. In response, air traffic control systems are being modernized to provide automated tools to overcome current-day workload limits. Highly accurate aircraft trajectory predictions are a critical element of the automated tools envisioned as part of the evolution of today's air traffic management system in the United States, known as NextGen. However, automation accuracy is limited due to the effects of external variables: "errors" such as wind forecast uncertainties. The focus of the Trajectory Prediction Uncertainty simulation at NASA Ames Research center were the effects of varied levels of accuracy on operator's tool use during a time based metering task. The simulation's environment also provided a means to examine the relationship between an operator's reliance strategy and underlying trust attitude. Operators were found to exhibit an underlying trust attitude distinct from their reliance strategies, supporting the strategic use of the Human-Automation trust scale in an air traffic control environment.