A Study on Workload Assessment and Usability of Wind-Aware User Interface for Small Unmanned Aircraft System Remote Operations

Tabassum, Asma; Bai, He; Fala, Nicoletta

doi:10.1007/978-3-031-48038-6_28

Cited by 3 publications

(2 citation statements)

References 28 publications

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“…Lastly, in [103,104], high-fidelity LES data of over an hour are integrated into an additional "wind module" within the AirSim simulator' however, since the papers are mainly focused on developing and validating a simulator user interface that displays the wind data, there is not much information provided on how the wind is modelled within the "wind module".…”

Section: Cluster 7: Miscellaneousmentioning

confidence: 99%

Review of Wind Flow Modelling in Urban Environments to Support the Development of Urban Air Mobility

Nithya,

Quaranta,

Muscarello

et al. 2024

Drones

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Urban air mobility (UAM) is a transformative mode of air transportation system technology that is targeted to carry passengers and goods in and around urban areas using electric vertical take-off and landing (eVTOL) aircraft. UAM operations are intended to be conducted in low altitudes where microscale turbulent wind flow conditions are prevalent. This introduces flight testing, certification, and operational complexities. To tackle these issues, the UAM industry, aviation authorities, and research communities across the world have provided prescriptive ways, such as the implementation of dynamic weather corridors for safe operation, classification of atmospheric disturbance levels for certification, etc., within the proposed concepts of operation (ConOps), certification standards, and guidelines. However, a notable hindrance to the efficacy of these solutions lies in the scarcity of operational UAM and observational wind data in urban environments. One way to address this deficiency in data is via microscale wind modelling, which has been long established in the context of studying atmospheric dynamics, weather forecasting, turbine blade load estimation, etc. Thus, this paper aims to provide a critical literature review of a variety of wind flow estimation and forecasting techniques that can be and have been utilized by the UAM community. Furthermore, a compare-and-contrast study of the commonly used wind flow models employed within the wind engineering and atmospheric science domain is furnished along with an overview of the urban wind flow conditions.

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Section: Cluster 7: Miscellaneousmentioning

confidence: 99%

Review of Wind Flow Modelling in Urban Environments to Support the Development of Urban Air Mobility

Nithya,

Quaranta,

Muscarello

et al. 2024

Drones

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“…Visualizations of wind field data can also been used to aid human pilots that operate manned or remotely piloted aircraft. In [23], a pilot-in-the-loop study showed that adding wind indicators of direction/magnitude (measured point-wise at the current aircraft location) improved pilot confidence. Visualization can be in the form of two-dimensional or threedimensional wind vector fields, streamtubes, or other volumetric indicators.…”

Section: Related Workmentioning

confidence: 99%

Quadrotor Flight Simulation in a CFD-generated Urban Wind Field

Kakavitsas,

Willis,

Jacobik

et al. 2024

Preprint

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This paper presents a software pipeline that enables simulating a quadrotor’s flight in realistic urban wind fields where complex wind phenomena are common and have significant impact on vehicle dynamics. The pipeline integrates the OpenStreetMap database for obtaining real-world building geometry, the OpenFOAM computational fluid dynamics (CFD) solver for computing a three-dimensional, steady, wind field, the Gazebo robotics simulation environment, and the PX4 software-in-the-loop autopilot. A 3D wind plugin is developed to interpolate a pre-computed CFD wind field at runtime during the simulation. The approach is demonstrated by comparing the flight performance of a quadrotor flying over a university campus environment with and without the wind field.

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