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15
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Introduction
Aliaksei Pilko is a PhD Student at the University of Southampton researching ways of quantifying risks posed by UAS, particularly in urban areas, with applications to path planning. He is currently working as part of a project to deliver a medical mixed-mode logistics network in the UK. He contributes to and open sources as many projects as possible. He has practical aviation experience as an avid cross-country glider pilot.
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Publications
Publications (15)
A logistics drone routing game utilising modelled flight risk and energy consumption data is presented, and its design elements are discussed. The game has been developed as part of a multi-disciplinary research project tasked with generating new understanding of the energy use and risks associated with drone use in logistics alongside the wider im...
Integration of Uncrewed Aircraft into unsegregated airspace requires robust and objective risk assessment in order to prevent exposure of existing airspace users to additional risk. A probabilistic Mid-Air Collision risk model is developed based on surveillance traffic data for the intended operational area. Simulated probable traffic scenarios are...
![Fig. 5 Fatality curves created from the model by Dalamagkidis et al. [18].](profile/Aliaksei_Pilko2/publication/367447309/figure/fig5/AS:11431281115910967@1675156033345/Fatality-curves-created-from-the-model-by-Dalamagkidis-et-al-18_Q320.jpg)
In this paper we propose the use of spatiotemporal population density data in the analysis of ground risk posed by uncrewed aircraft system (UAS) operations. The spatiotemporal population density maps are generated through the combination of authoritative data sources, open source geospatial databases, and past works to dynamically classify proport...
Healthcare accounts for approximately 5% of emissions in developed nations, and the public healthcare provider in the United Kingdom (UK), the National Health Service (NHS), has set a target to reach net-zero emissions by 2040 without detriment to its quality of patient care. With Uncrewed Aerial Vehicles (UAVs; a.k.a. drones, UAS, or RPAS) startin...
Drones are being considered as an alternative transport mode to ground based van networks. Whilst the speed and application of such networks has been extensively studied, the safety aspects of such modes have not been directly compared. Using UK Department for Transport data and a drone flight planning approach using a probabilistic risk model, an...
Operations of Uncrewed Aerial Vehicles (UAVs or drones) are expanding, leading to competition for airspace with other users such as the General Aviation (GA) community, i.e., sports and leisure airspace users, particularly in uncontrolled airspace. As a result, there is an increasingly urgent need for a shared airspace resolution, whereby drones be...
View Video Presentation: https://doi.org/10.2514/6.2022-1915.vid In this paper we propose the use of spatiotemporal population density data in the analysis of ground risk posed by UAS (Uncrewed Aerial System) operations. The spatiotemporal population density maps are generated through the combination of authoritative data sources, open source geosp...
The uncrewed aerial vehicle (UAV or drone) industry is expanding, offering services such as video/photography, inspection, monitoring, surveying, and logistics. This is leading to competing demands for airspace with existing crewed aircraft activities, especially in uncontrolled airspace. As a result, there is an increasingly urgent need for a shar...
Full Strike and Fatality risk maps given areas. Currently the parameters for the wind etc, are not patched through to UI. CUDA implementation now used preferentially to CPU bound impl for risk map generation. This relies on a supported Nvidia GPU and working install of CUDA toolkit. This is checked for by the existence of a CUDA_HOME environment va...
