Aerospace MDPI

🚀 "Integrated Airborne Urban Mobility: A Multidisciplinary View" 🌤️

Urban Air Mobility is a new air transportation concept, which may contribute to achieving more sustainable airborne travel. The project “iLUM” was funded by the Hamburgerian Ministry of Science, Research, Equality and Districts (BWFGB) to develop a holistic methodology for the feasibility and value analysis of urban air transportation. We invite researchers to share their latest findings in this field. Join us at:
https://bit.ly/49nwAUl

👨‍🔬 Special Issue Editors: Prof. Dr. Volker Gollnick and Prof. Dr. Michael Schultz

🏫 Institut für Luftransportsysteme an der TUHH
🏫 Bundeswehr University Munich

📢 Aerospace MDPI issue cover 🚀

All articles in Aerospace (ISSN 2226-4310) Volume 10, Issue 4, are freely available to access, read and download:
https://bit.ly/45RB6ri

Cover Paper:
📚 Thrust-Based Stabilization and Guidance for Airships without Thrust-Vectoring
👨‍🔬 By Carlo E.D. Riboldi and Alberto Rolando
🏫 Politecnico di Milano
🏫 PACE Aerospace & IT GmbH

🚀 "Automatic Speech Recognition and Understanding in Air Traffic Management" - Already 9 papers! 🌤️

Since Alexa, OK Google and Siri at the latest, voice recognition has become part of everyday life. Its potential to reduce the workload of air traffic controllers (ATCos) and enhance air traffic management (ATM) safety is enormous. We invite researchers to share their latest findings in this field. Join us at:
https://bit.ly/3MsCzxg

👨‍🔬 Special Issue Editors: Prof. Dr. Hartmut Helmke and Dr. Oliver Ohneiser, German Aerospace Center, DLR

Automatic Speech Recognition and Understanding in Air Traffic Management Special Issue in journal Aerospace: Automatic Speech Recognition and Understanding in Air Traffic Management

📢 Aerospace MDPI issue cover 🚀

All articles in Aerospace (ISSN 2226-4310) Volume 10, Issue 3, are freely available to access, read and download:
https://bit.ly/3tWquKq

Cover Paper:

📚 Mission Performance Analysis of Hybrid-Electric Regional Aircraft
👨‍🔬 By Giuseppe Palaia and Karim Abu Salem
🏫 University of Pisa

🚀 "The Search for Signs of Life on Venus: Science Objectives and Mission Designs" - Call for Reading 🌤️

Join us in uncovering the secrets hidden within the clouds of Venus! This Special Issue give an overview on the astrobiological potential of Venus and provides selected contributions on mission concepts to study Venus clouds sponsored under the Venus Life Finder (VLF) Mission Study by MIT and Breakthrough Initiatives. Don't miss this opportunity to be at the forefront of Venus exploration!

🔗 Welcome to download and read the publications from Special Issue: https://bit.ly/498Vya8

🧡 Many thanks to the editors, 👨‍🔬Prof. Dr. Sara Seager and 👨‍🔬Dr. Janusz J. Petkowski, as well as the authors and reviewers involved in this endeavor.

🚀 Aerospace MDPI in 2021!

📜Aircraft Trajectory Clustering in Terminal Airspace Based on Deep Autoencoder and Gaussian Mixture Model

✍ by Weili Zeng, Zhengfeng Xu, Zhipeng Cai, Xiao Chu and Xiaobo Lu

👏 Views: 3134
👏 Citations: 26

👨‍🚀 Read/Download the paper at: https://bit.ly/45wYudD

🏫 Nanjing University of Aeronautics & Astronautics
🏫 Southeast University

Keywords: ; clustering; deep autoencoder; mixture model

Aircraft Trajectory Clustering in Terminal Airspace Based on Deep Autoencoder and Gaussian Mixture Model The aircraft trajectory clustering analysis in the terminal airspace is conducive to determining the representative route structure of the arrival and departure trajectory and extracting their typical patterns, which is important for air traffic management such as airspace structure optimization, tr...