Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145809
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dc.contributor.authorHu, Xintingen_US
dc.contributor.authorPang, Bizhaoen_US
dc.contributor.authorDai, Fuqingen_US
dc.contributor.authorLow, Kin Huaten_US
dc.date.accessioned2021-01-08T08:26:18Z-
dc.date.available2021-01-08T08:26:18Z-
dc.date.issued2020-
dc.identifier.citationHu, X., Pang, B., Dai, F., & Low, K. H. (2020). Risk assessment model for UAV cost-effective path planning in urban environments. IEEE Access, 8, 150162-150173. doi:10.1109/access.2020.3016118en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttps://hdl.handle.net/10356/145809-
dc.description.abstractIncreasing use of Unmanned Aerial Vehicle (UAV) in urban environments poses to an increased risk of fallen UAVs impacting people and vehicles on the ground, as well as colliding with manned aircraft in the vicinity of airports. Risk management of UAV flights for safe operations is essential. We proposed a comprehensive risk assessment model for UAV operation in urban environments. Three risk categories (people, vehicles, and manned aircraft) were considered and each risk cost was quantified using collision probability. We adjusted the risk costs in various magnitudes to a same scale and conducted a sensitivity analysis to determine the optimal coefficients of the three risk cost models. We then computed the total risk and generated a risk cost map for path planning. Modified path planning algorithms were used to produce a cost-effective path, and we compared their performances in terms of total risk cost and computational time. Lastly, we performed simulations to validate the feasibility and effectiveness of our proposed risk assessment model. The results show that the risk-cost-based path planning method can generate safer path for UAV operations than the traditional shortest-distance-based method. Our proposed model can be extended to complex urban environments by including more relevant parameters and data.en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Accessen_US
dc.rights© 2020 IEEE. This journal is 100% open access, which means that all content is freely available without charge to users or their institutions. All articles accepted after 12 June 2019 are published under a CC BY 4.0 license, and the author retains copyright. Users are allowed to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, as long as proper attribution is given.en_US
dc.subjectEngineering::Aeronautical engineeringen_US
dc.titleRisk assessment model for UAV cost-effective path planning in urban environmentsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.contributor.researchAir Traffic Management Research Instituteen_US
dc.identifier.doi10.1109/ACCESS.2020.3016118-
dc.description.versionPublished versionen_US
dc.identifier.volume8en_US
dc.identifier.spage150162en_US
dc.identifier.epage150173en_US
dc.subject.keywordsUnmanned Aerial Vehicleen_US
dc.subject.keywordsRisk Assessment Modelen_US
dc.description.acknowledgementThis work was supported in part by the National Key R&D Program of China under Grant 2016YFB0502400, and in part by the UAS Programme in the Air Traffic Management Research Institute (ATMRI), Nanyang Technological University (NTU), Singapore.en_US
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