Abstract
In the coming years, aviation will have to cope with an increase in the number of aircraft, and of drones purchased in the open market. The human intervention of Air Traffic Management (ATM) will be overburden with guaranteeing flight safety with hundreds of manned aircraft and Unmanned Aerial Vehicles (UAVs) operating simultaneously. Conflict Resolution (CR) models are under research, aiming at relieving the workload of ATM services and to enable UAVs to fly safely in the civil airspace. However, these are tested using different simulation tools and scenarios, making it impossible for a direct comparison. This paper compared the performance of commonly used CR methods under the same conditions both for manned and unmanned aviation. Disparities with previously conducted research using different scenarios show the importance of creating a standardized simulation library. Additionally, under the traffic scenarios considered, velocity obstacles (VO) based methods obtained a better performance safety-wise.
Original language | English |
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Title of host publication | 9th SESAR Innovation Days 2nd – 5th December 2019 |
Number of pages | 8 |
Publication status | Published - 2019 |
Event | SIDs2019: 9th SESAR Innovation Days - Athens, Greece Duration: 2 Dec 2019 → 5 Dec 2019 Conference number: 9 |
Publication series
Name | SESAR Innovation Days |
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Conference
Conference | SIDs2019: 9th SESAR Innovation Days |
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Abbreviated title | SIDs2019 |
Country/Territory | Greece |
City | Athens |
Period | 2/12/19 → 5/12/19 |
Keywords
- Conflict
- Detection and Resolution (CD&R)
- Air Traffic Management (ATM)
- U-Space
- BlueSky ATM Simulator
- Velocity Obstacles (VO)
- Self-Separation
- Conflict Detection and Resolution (CD&R)