Abstract
Inspired by risk analysis assistance service and dynamic capacity management service in U-space service, this paper investigates a risk-based UAM airspace capacity assessment method using Monte Carlo simulation for future urban air mobility. The quantitative risk assessment of the flight plan is divided into three parts: the ground / air risks of the flight plan and the mid-air collision risk between UAM. Using the comprehensive risk assessment method, this paper generates several simulation scenarios in the airspace to be evaluated in terms of the type of participants, the presence of the detect and avoid system, and the total number of participants in the airspace, conducts Monte Carlo simulations, and records the simulation data for analysis. Through the analysis of simulation data, it is found that the maximum risk of UAM in airspace increases with the increase of the number of airspace invaders and the total number of UAM. However, the maximum risk of UAM in airspace decreases when the aircraft in airspace contains the detection and avoid system with the same other conditions. Based on simulation data, this paper informatively proposes the concept of a 3D risk surface and a risk-based airspace capacity envelope, using the horizontal surface formed by a specific risk threshold to cut the 3D risk surface to form an airspace capacity envelope, which visually describes the number of aircraft that can be contained in the airspace under a specific risk threshold.
Original language | English |
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Title of host publication | DASC 2023 - Digital Avionics Systems Conference, Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350333572 |
DOIs | |
Publication status | Published - 2023 |
Externally published | Yes |
Event | 42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023 - Barcelona, Spain Duration: 1 Oct 2023 → 5 Oct 2023 |
Publication series
Name | AIAA/IEEE Digital Avionics Systems Conference - Proceedings |
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ISSN (Print) | 2155-7195 |
ISSN (Electronic) | 2155-7209 |
Conference
Conference | 42nd IEEE/AIAA Digital Avionics Systems Conference, DASC 2023 |
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Country/Territory | Spain |
City | Barcelona |
Period | 1/10/23 → 5/10/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Funding
This work was partially funded by the SESAR JU under grant agreement No 101017702, as part of the European Union’s Horizon 2020 research and innovation programme: AMU-LED (Air Mobility Urban - Large Experimental Demon- strations). The opinions expressed herein reflect the authors view only. Under no circumstances shall the SESAR Joint Undertaking be responsible for any use that may be made of the information contained herein.
Funders | Funder number |
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AMU-LED | |
SESAR JU | 101017702 |
Horizon 2020 Framework Programme |
Keywords
- Monte Carlo simulation
- capacity assessment
- urban air mobility