U-Space Utilisation of Airspace under Various Layer Function Assignments and Allocations

Author:

Morfin Veytia Andres1ORCID,Badea Calin Andrei1,Patrinopoulou Niki2ORCID,Daramouskas Ioannis2,Ellerbroek Joost1ORCID,Lappas Vaios3ORCID,Kostopoulos Vassilios2,Hoekstra Jacco1ORCID

Affiliation:

1. Control and Simulation, Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands

2. Applied Mechanics Lab, University of Patras, 26504 Patras, Greece

3. Department of Aerospace Science & Technology, National Kapodistrian University of Athens, 10563 Athens, Greece

Abstract

The interest in urban air mobility as a potential solution for urban congestion is steadily growing. Air operations in urban areas can present added complexity as compared with traditional air traffic management. As a result, it is necessary to test and develop novel airspace designs and rules. As airspace in urban areas is a scarce resource, creating structures and rules that effectively utilise the airspace is an important challenge. This work specifically focuses on layered airspace design in urban operations constrained to fly between the existing buildings. Two design parameters of airspace design are investigated with two sub-experiments. Sub-experiment 1 investigates layer function assignment by comparing concepts from previous research with different layer assignment distributions. Sub-experiment 2 investigates the flight rules of vertical distribution of traffic within the airspace, to determine whether this is best achieved in a static (pre-allocated) or dynamic manner. Both sub-experiments analyse the overall system safety, route duration, and route distance under increasing traffic demand. Results reveal that the importance of cruising airspace is apparent at high densities. Results also shows that the safest layer allocation flight rule depends on the traffic density. At lower densities dynamic rules help to spread traffic locally. However, when the airspace is saturated it is safer to pre-allocate flight heights if achieved uniformly.

Funder

SESAR Joint Undertaking under the European Union’s Horizon 2020 research and innovation programme

Publisher

MDPI AG

Subject

Artificial Intelligence,Computer Science Applications,Aerospace Engineering,Information Systems,Control and Systems Engineering

Reference36 articles.

1. United Nations, Department of Economic and Social Affairs, Population Division (2019). World Urbanization Prospects: The 2018 Revision (ST/ESA/SER.A/420), United Nations.

2. Energy use and life cycle greenhouse gas emissions of drones for commercial package delivery;Stolaroff;Nat. Commun.,2018

3. SESAR Joint Undertaking (2017). European Drones Outlook Study: Unlocking the Value for Europe, Publications Office.

4. Borghetti, F., Caballini, C., Carboni, A., Grossato, G., Maja, R., and Barabino, B. (2022). The Use of Drones for Last-Mile Delivery: A Numerical Case Study in Milan, Italy. Sustainability, 14.

5. SESAR Joint Undertaking (2017). U-Space: Blueprint, Publications Office.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3