Please use this identifier to cite or link to this item:
Title: Weather data analytics for safe drone operations in low-altitude urban environments
Authors: Lee, Lewis
Pang, Bizhao
Low, Kin Huat
Keywords: Engineering::Civil engineering::Transportation
Engineering::Computer science and engineering::Mathematics of computing
Issue Date: 2022
Source: Lee, L., Pang, B. & Low, K. H. (2022). Weather data analytics for safe drone operations in low-altitude urban environments. AIAA AVIATION 2022 Forum, 2022-3405-.
metadata.dc.contributor.conference: AIAA AVIATION 2022 Forum
Abstract: Drone operations in low-altitude urban airspace might be influenced by weather conditions such as wind and rainfall. Severe weather conditions may exceed the threshold of drone tolerability and cause crash accidents, posing risks to people and property. To investigate the influence of weather conditions on drone operation, this paper presents a data-driven method for analysis of weather data and to identify different levels of risk for safe drone operations. Obtained weather data is first collected across Singapore’s 63 weather stations, and trend analysis are conducted to test if there are any significant trends in the yearly weather data. The risk standards in low-altitude urban environments are then classified based on the risk cost model. Similar levels of risk are clustered depending on the geographical location. Preliminary results show that the present weather data can be used to model our simulations as past historical weather data have no significant deviations. The results also concluded that low to high rainfall usually occurs at low wind speeds while high wind speeds tend to have low rainfall. The weather data analysis results can be used to generate an environmental risk-map for safe airspace planning and UAV path optimization.
DOI: 10.2514/6.2022-3405
Schools: School of Mechanical and Aerospace Engineering 
Research Centres: Air Traffic Management Research Institute 
Rights: © 2022 American Institute of Aeronautics and Astronautics, Inc. All rights reserved. This paper was published in Proceedings of AIAA AVIATION 2022 Forum and is made available with permission of American Institute of Aeronautics and Astronautics, Inc.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:ATMRI Conference Papers
MAE Conference Papers

Files in This Item:
File Description SizeFormat 
AIAA Aviation 2022_Submitted to DR-NTU.pdf1.57 MBAdobe PDFThumbnail

Citations 50

Updated on Sep 24, 2023

Page view(s)

Updated on Sep 30, 2023

Download(s) 50

Updated on Sep 30, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.