Abstract
In recent years, attention has been devoted to Urban Air Mobility (UAM) systems, based on autonomous and cooperative aircraft development as well as on some basic airspace architectures – included air corridors enabling safe procedures and operation, particularly separations among aerial vehicles. In this context, each aerial vehicle would represent an “intelligent” entity that must be provided with suitable computational, sensing and communication capabilities to cooperate with other similar entities. To this purpose, data coming from both the infrastructure and the other aerial vehicles would be autonomously processed by each entity and compared with the current location and the planned destination in order to complete the trip efficiently and safely. Moreover, communication network such as Multi-Group Ad-Hoc Network, would ensure connection and cooperation among Aerial Cooperative Vehicles, also supported by algorithms and software, which will compute and manage flight path in real time to avoid collisions.
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Ditta, C.C., Postorino, M.N. (2022). New Challenges for Urban Air Mobility Systems: Aerial Cooperative Vehicles. In: Camacho, D., Rosaci, D., Sarné, G.M.L., Versaci, M. (eds) Intelligent Distributed Computing XIV. IDC 2021. Studies in Computational Intelligence, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-96627-0_13
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DOI: https://doi.org/10.1007/978-3-030-96627-0_13
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