A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace
The intelligent auxiliary decision-making (IADM) is emerging as a feasible solution for air traffic control (ATC) to reduce undesirable conflicts in shared airspace; meanwhile, unmanned aerial vehicles (UAVs) can be operated with enhanced efficiency and safety using IADM. This paper presents the con...
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Hindawi Limited
2021
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oai:doaj.org-article:c9daa92478fa432c9ca38fecc00d54ce2021-11-15T01:19:20ZA Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace1687-597410.1155/2021/1692896https://doaj.org/article/c9daa92478fa432c9ca38fecc00d54ce2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/1692896https://doaj.org/toc/1687-5974The intelligent auxiliary decision-making (IADM) is emerging as a feasible solution for air traffic control (ATC) to reduce undesirable conflicts in shared airspace; meanwhile, unmanned aerial vehicles (UAVs) can be operated with enhanced efficiency and safety using IADM. This paper presents the conflict risk framework of the MAV\UAV flight that improves flight safety of MAVs and UAVs in shared airspace. This is accomplished by focusing on two steps: First, determine the minimum safety communication interval between the UAV and controller; second, build a conflict risk model to detect which decision mechanism will minimize risk. Our approach provides a standard model to start with to improve IADM and allow engineers to focus on the operational purpose of MAV/UAV. Results show that our work presented here is practical and straightforward, and it brings an evident engineering application prospect.ChaoYu XiaChun-Rong YangKang XueHanBing YanJianHua ZhongQiu JunHindawi LimitedarticleMotor vehicles. Aeronautics. AstronauticsTL1-4050ENInternational Journal of Aerospace Engineering, Vol 2021 (2021) |
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Motor vehicles. Aeronautics. Astronautics TL1-4050 |
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Motor vehicles. Aeronautics. Astronautics TL1-4050 ChaoYu Xia Chun-Rong Yang Kang Xue HanBing Yan JianHua Zhong Qiu Jun A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace |
description |
The intelligent auxiliary decision-making (IADM) is emerging as a feasible solution for air traffic control (ATC) to reduce undesirable conflicts in shared airspace; meanwhile, unmanned aerial vehicles (UAVs) can be operated with enhanced efficiency and safety using IADM. This paper presents the conflict risk framework of the MAV\UAV flight that improves flight safety of MAVs and UAVs in shared airspace. This is accomplished by focusing on two steps: First, determine the minimum safety communication interval between the UAV and controller; second, build a conflict risk model to detect which decision mechanism will minimize risk. Our approach provides a standard model to start with to improve IADM and allow engineers to focus on the operational purpose of MAV/UAV. Results show that our work presented here is practical and straightforward, and it brings an evident engineering application prospect. |
format |
article |
author |
ChaoYu Xia Chun-Rong Yang Kang Xue HanBing Yan JianHua Zhong Qiu Jun |
author_facet |
ChaoYu Xia Chun-Rong Yang Kang Xue HanBing Yan JianHua Zhong Qiu Jun |
author_sort |
ChaoYu Xia |
title |
A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace |
title_short |
A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace |
title_full |
A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace |
title_fullStr |
A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace |
title_full_unstemmed |
A Conflict Risk Analysis of MAV\UAV Flight in Shared Airspace |
title_sort |
conflict risk analysis of mav\uav flight in shared airspace |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/c9daa92478fa432c9ca38fecc00d54ce |
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