Preliminary Concept of Adaptive Urban Airspace Management for Unmanned Aircraft Operations

Salleh, Mohamed Faisal Bin Mohamed; Chi, Wanchao; Wang, Zhenkun; Huang, Shuangyao; Tan, Dunlin; Huang, Ting‐Ting; Low, Kin Huat

doi:10.2514/6.2018-2260

Cited by 42 publications

(25 citation statements)

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“…In the end, a recommendation on the safe separation distance between UAS can be implemented for UAS traffic management to ensure the safety of UAS during their operations. 66…”

Section: Discussionmentioning

confidence: 99%

Numerical studies on modeling the near- and far-field wake vortex of a quadrotor in forward flight

Nathanael

Wang

Low

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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The operation of Unmanned Aerial Systems (UAS) is expected to keep increasing in the future with its rapid advancement and ever-expanding applications. One of the safety measures that need to be put into place for safe UAS operations is separation requirements. This article presents the results from flow simulations of quadrotor propellers using the Overset method in ANSYS Fluent 19.2 and the Virtual Blade Model (VBM) method in OpenFOAM as part of ongoing work to establish a wake vortex–based safe separation distance for UAS operations. The near-field flow simulation using the Reynolds-averaged Navier–Stokes turbulence model was validated with mesh convergence and turbulence model studies and verified with simulation and experimental data in the literature to ensure that the propeller simulation methods could generate a realistic near-field flow of multi-rotor UAS in forward flight. The far-field flow simulation using the Large Eddy Simulation turbulence model was validated with a mesh convergence study by calculating and comparing the circulation strength of the vortices in the far-field flow of each mesh setup but not verified due to a lack of existing experimental data.

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“…In the end, a recommendation on the safe separation distance between UAS can be implemented for UAS traffic management to ensure the safety of UAS during their operations. 66…”

Section: Discussionmentioning

confidence: 99%

Numerical studies on modeling the near- and far-field wake vortex of a quadrotor in forward flight

Nathanael

Wang

Low

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…[32][33][34] Airspace design in an urban setting is also a topic of interest. [35][36][37] Improvement of collision avoidance methods 38 and computational guidance methods could also support the introduction of UAM. In the following, we review selected papers to provide an overview of ongoing research efforts.…”

Section: Literature Reviewmentioning

confidence: 99%

On the underlying dynamics of traffic conflicts related to stochastic behaviour

Oreg

Shin

Tsourdos

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

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The aim of this paper is to analyse why and how air traffic conflicts occur as a result of the stochastic behaviour of both the ownship and the intruder and to show how system-level characteristics can be derived from such an analysis. Ensemble dynamics in a given traffic scenario have already been analysed using multi-agent simulations by many; however, such an analysis is hardly ever backed up and interpreted in terms of an analytical study. By making use of directional conflict probability maps, characteristics of integral, system-level quantities can be explained, providing further insight into the relationship of speed distribution parameters and system performance quantities, namely, safety and throughput.

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“…In recent years, the theoretical research on UAVs has mainly focused on path planning and site selection [5,6], urban air mobility (UAM) [7][8][9], and the various constraints faced by the construction of UAM systems [10,11] and route planning in a low-altitude airspace [12]. For example: Venkatesh [5] proposed a new method based on the linear programming problem model, which aims to find the best route for vehicles carrying UAVs.…”

Section: Literature Reviewmentioning

confidence: 99%

Model of Third-Party Risk Index for Unmanned Aerial Vehicle Delivery in Urban Environment

Ren

Chen

2020

Sustainability

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In order to assess the airspace risk of unmanned aerial vehicles (UAVs) operating at low altitudes, the third-party risks of UAV urban operations were defined: the risks caused by drones to people on the ground who are not involved in operations and do not profit from operations, and the sources and objects of the risk were clarified. Taking into account the drone crash, noise, on-board camera, and ground environment factors, a UAV urban logistics risk index evaluation model was constructed. First, the UAV image regression model was used to construct a three-dimensional grid, and then a comprehensive third-party risk index model of UAV urban logistics was built based on the casualty and noise risks. Finally, the Southern District of Civil Aviation University of China was selected as an example scene, and surface data were obtained through a field investigation and instrument measurements. Then, the risk of drone operations in the airspace 30–60 m above this area was evaluated. The results showed that the third-party risk was lower when the UAV flying altitude above a building was greater. However, in other areas such as lakes, woods, roads, open spaces, a lower flight altitude had a lower risk. A comparison of the whole airspace showed that the third-party risk was the lowest when the drone operated at an altitude of 30 m. The results also showed that the third-party risk above the lake and greenery was the lowest when on the same plane, followed by the lower risk above the buildings and open squares, with the highest third-party risk above the canteen passage.

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Preliminary Concept of Adaptive Urban Airspace Management for Unmanned Aircraft Operations

Cited by 42 publications

References 0 publications

Numerical studies on modeling the near- and far-field wake vortex of a quadrotor in forward flight

Numerical studies on modeling the near- and far-field wake vortex of a quadrotor in forward flight

On the underlying dynamics of traffic conflicts related to stochastic behaviour

Model of Third-Party Risk Index for Unmanned Aerial Vehicle Delivery in Urban Environment

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