An RRT* based method for dynamic mission balancing for urban air mobility under uncertain operational conditions

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dc.contributor.authorLou, Junlin
dc.contributor.authorYuksek, Burak
dc.contributor.authorInalhan, Gokhan
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2022-02-09T11:30:22Z
dc.date.available2022-02-09T11:30:22Z
dc.date.issued2021-11-15
dc.description.abstractUrban air mobility provides an enabling technology towards on-demand and flexible operations for passenger and cargo transportation in metropolitan areas. Electric vertical-takeoff and landing (eVTOL) concept is a potential candidate for urban air mobility platform because of its lower carbon emissions, lower noise generations and potentially lower operational costs. However, such a transportation model is subject to numerous complicated environmental and urban design factors including buildings, dynamic obstacles and micro-weather patterns. In addition, communication, navigation and surveillance quality-of-service and availability would be affected on the overall system performance and resilience. Some social factors such as privacy, noise and visual pollution should also be considered to provide a seamless integration of the urban air mobility applications into the daily life. This paper describes an integrated RRT* based approach for designing and executing flight trajectories for urban airspace subject to operating constraints, mission constraints, and environmental conditions. The generated path is energy-efficient and enables aerial vehicle to perform mid-flight landing for battery changing or emergency situations. Moreover, this paper proposes another approach that allows on-the-fly path re-planning under dynamic constraints such as geofences or micro-weather patterns. As such, the approach also provides a method toward contingency operations such as emergency landing on the fly.en_UK
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC): EP/V026763/1en_UK
dc.identifier.citationLou J, Yuksek B, Inalhan G, Tsourdos A. (2021) An RRT* based method for dynamic mission balancing for urban air mobility under uncertain operational conditions. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), 3-7 October 2021, San Antonio, TX USAen_UK
dc.identifier.eisbn978-1-6654-3420-1
dc.identifier.eissn2155-7209
dc.identifier.isbn978-1-6654-3421-8
dc.identifier.issn2155-7195
dc.identifier.urihttps://doi.org/10.1109/DASC52595.2021.9594424
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17554
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectUrban air mobilityen_UK
dc.subjectRRT*en_UK
dc.subjectEnergy-efficient pathen_UK
dc.subjectRe-planningen_UK
dc.subjectUncertain conditionsen_UK
dc.titleAn RRT* based method for dynamic mission balancing for urban air mobility under uncertain operational conditionsen_UK
dc.typeConference paperen_UK

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