Inicio  /  Aerospace  /  Vol: 7 Par: 7 (2020)  /  Artículo
ARTÍCULO
TITULO

Fundamental Elements of an Urban UTM

Tim McCarthy    
Lars Pforte and Rebekah Burke    

Resumen

Urban airspace environments present exciting new opportunities for delivering drone services to an increasingly large global market, including: information gathering; package delivery; air-taxi services. A key challenge is how to model airspace environments over densely populated urban spaces, coupled with the design and development of scalable traffic management systems that may need to handle potentially hundreds to thousands of drone movements per hour. This paper explores the background to Urban unmanned traffic management (UTM), examining high-level initiatives, such as the USA?s Unmanned Air Traffic (UTM) systems and Europe?s U-Space services, as well as a number of contemporary research activities in this area. The main body of the paper describes the initial research outputs of the U-Flyte R&D group, based at Maynooth University in Ireland, who have focused on developing an integrated approach to airspace modelling and traffic management platforms for operating large drone fleets over urban environments. This work proposes pragmatic and innovative approaches to expedite the roll-out of these much-needed urban UTM solutions. These approaches include the certification of drones for urban operation, the adoption of a collaborative and democratic approach to designing urban airspace, the development of a scalable traffic management and the replacement of direct human involvement in operating drones and coordinating drone traffic with machines. The key fundamental elements of airspace architecture and traffic management for busy drone operations in urban environments are described together with initial UTM performance results from simulation studies.

 Artículos similares

       
 
Kesavan Manoharan, Pujitha Dissanayake, Chintha Pathirana, Dharsana Deegahawature, Renuka Silva    
Various industry sectors of many developing countries have been facing various challenges associated with low performance of labour due to poor work-based training practices. This study aims to assess the performance of labour in construction by applying... ver más

 
Evandro Rostirolla Bortoloto, Francisco Carlos Parquet Bizarria and José Walter Parquet Bizarria    
During the development stage of a space vehicle, instrumented tests are carried out on the ground to prove the operational capacity of each liquid-propellant rocket engine, which is installed in this type of vehicle. The task of elaborating a Test Bench ... ver más
Revista: Aerospace

 
Yang Zhang, Jin Liu, Bo Huang and Bei Chen    
Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer. Most existing entity linking models rely on suffi... ver más
Revista: Information

 
Eugene Ilyushin,Dmitry Namiot,Ivan Chizhov     Pág. 17 - 22
The paper deals with the problem of adversarial attacks on machine learning systems. Such attacks are understood as special actions on the elements of the machine learning pipeline (training data, the model itself, test data) in order to either achieve t... ver más

 
Filomena Loffredo, Emanuele Vardaci, Davide Bianco, Antonio Di Nitto and Maria Quarto    
The study of suitable materials to shield astronauts from Galactic Cosmic Rays (GCR) is a topic of fundamental importance. The choice of the material must take into account both the secondary radiation produced by the interaction between primary radiatio... ver más
Revista: Applied Sciences