Parametric Analysis of Landing Capacity for UAV Fleet Operations with Specific Airspace Structures and Rule-Based Constraints
As Urban Air Mobility (UAM) moves toward implementation, managing high-density, high-volume flights in urban airspaces becomes increasingly critical. In such environments, the design of vertiport airspace structures plays a key role in determining how many UAVs can operate safely and efficiently wit...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/8/12/770 |
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| author | Peng Han Xinyue Yang Kin Huat Low Yifei Zhao |
| author_facet | Peng Han Xinyue Yang Kin Huat Low Yifei Zhao |
| author_sort | Peng Han |
| collection | DOAJ |
| description | As Urban Air Mobility (UAM) moves toward implementation, managing high-density, high-volume flights in urban airspaces becomes increasingly critical. In such environments, the design of vertiport airspace structures plays a key role in determining how many UAVs can operate safely and efficiently within a specific airspace. Existing studies have not fully explored the complex interdependencies between airspace structure parameters and fleet operation capacity, particularly regarding how various structural components and their configurations affect UAV fleet performance. This paper addresses these gaps by proposing a multi-layered funnel-shaped airspace structure for vertiports, along with an adjustable parameter model to assess factors affecting landing capacity. The proposed design includes the assembly layer, upper layer, lower layer, and approach point, forming the basis for fleet operations, divided into three phases: arrival, approach, and landing. By modeling fleet operations with various constraints and time-based algorithms, simulations have been conducted to analyze the impact of changing airspace structure parametric dimensions on UAV fleet operation capacity. The results reveal that fleet capacity is closely influenced by two limitations: the distance traveled in each phase and the availability of holding points at each layer. These findings provide valuable insights and contribute to future airspace design efforts for UAM vertiports. |
| format | Article |
| id | doaj-art-2c74569ab6a64def83ded872291aa84c |
| institution | OA Journals |
| issn | 2504-446X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-2c74569ab6a64def83ded872291aa84c2025-08-20T02:00:37ZengMDPI AGDrones2504-446X2024-12-0181277010.3390/drones8120770Parametric Analysis of Landing Capacity for UAV Fleet Operations with Specific Airspace Structures and Rule-Based ConstraintsPeng Han0Xinyue Yang1Kin Huat Low2Yifei Zhao3College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, ChinaCollege of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, ChinaCollege of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, ChinaCollege of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, ChinaAs Urban Air Mobility (UAM) moves toward implementation, managing high-density, high-volume flights in urban airspaces becomes increasingly critical. In such environments, the design of vertiport airspace structures plays a key role in determining how many UAVs can operate safely and efficiently within a specific airspace. Existing studies have not fully explored the complex interdependencies between airspace structure parameters and fleet operation capacity, particularly regarding how various structural components and their configurations affect UAV fleet performance. This paper addresses these gaps by proposing a multi-layered funnel-shaped airspace structure for vertiports, along with an adjustable parameter model to assess factors affecting landing capacity. The proposed design includes the assembly layer, upper layer, lower layer, and approach point, forming the basis for fleet operations, divided into three phases: arrival, approach, and landing. By modeling fleet operations with various constraints and time-based algorithms, simulations have been conducted to analyze the impact of changing airspace structure parametric dimensions on UAV fleet operation capacity. The results reveal that fleet capacity is closely influenced by two limitations: the distance traveled in each phase and the availability of holding points at each layer. These findings provide valuable insights and contribute to future airspace design efforts for UAM vertiports.https://www.mdpi.com/2504-446X/8/12/770low attitude airspacefleet operation capacityairspace structureUAV landing process |
| spellingShingle | Peng Han Xinyue Yang Kin Huat Low Yifei Zhao Parametric Analysis of Landing Capacity for UAV Fleet Operations with Specific Airspace Structures and Rule-Based Constraints Drones low attitude airspace fleet operation capacity airspace structure UAV landing process |
| title | Parametric Analysis of Landing Capacity for UAV Fleet Operations with Specific Airspace Structures and Rule-Based Constraints |
| title_full | Parametric Analysis of Landing Capacity for UAV Fleet Operations with Specific Airspace Structures and Rule-Based Constraints |
| title_fullStr | Parametric Analysis of Landing Capacity for UAV Fleet Operations with Specific Airspace Structures and Rule-Based Constraints |
| title_full_unstemmed | Parametric Analysis of Landing Capacity for UAV Fleet Operations with Specific Airspace Structures and Rule-Based Constraints |
| title_short | Parametric Analysis of Landing Capacity for UAV Fleet Operations with Specific Airspace Structures and Rule-Based Constraints |
| title_sort | parametric analysis of landing capacity for uav fleet operations with specific airspace structures and rule based constraints |
| topic | low attitude airspace fleet operation capacity airspace structure UAV landing process |
| url | https://www.mdpi.com/2504-446X/8/12/770 |
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