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A 3D Urban Aerial Network for New Mobility Solutions

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Intelligent Distributed Computing XV (IDC 2022)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1089))

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Abstract

Urban air mobility is an expected new solution for satisfying mobility needs within and among densely urbanized city areas as well as for increasing airport accessibility. Transport services are expected to be realized by connected flying vehicles, currently experimented by several industries. An important issue concerns the definition of a suitable aerial network framework that allows realizing flight operations at low altitudes by using stable data transmission among flying vehicles and Air Traffic Control centers. This paper proposes, and discusses the implication of, a three-dimensional Urban Aerial Network (3D-UAN) that includes the third (vertical) dimension to allow flying vehicles to be integrated into the airspace current procedures. A suitable link cost function is also defined. The required data - both off-line and in real-time - and the way they should be communicated among flying vehicles, and between flying vehicles and the Control center, to find optimal paths between relevant nodes and ensure safe operations are explored. The main aspects to simulate this distributed architecture are considered from the perspective of satisfying transport network properties and user’s needs.

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Author information

Authors and Affiliations

  1. DICAM, Alma Mater Studiorum - University of Bologna, Bologna, Italy

    Chiara Caterina Ditta & Maria Nadia Postorino

Authors
  1. Chiara Caterina Ditta
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  2. Maria Nadia Postorino
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Correspondence to Chiara Caterina Ditta .

Editor information

Editors and Affiliations

  1. Bremen University of Applied Sciences, Bremen, Germany

    Lars Braubach

  2. Brandenburg University of Applied Sciences, Brandenburg, Germany

    Kai Jander

  3. University of Craiova, Craiova, Romania

    Costin Bădică

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Ditta, C.C., Postorino, M.N. (2023). A 3D Urban Aerial Network for New Mobility Solutions. In: Braubach, L., Jander, K., Bădică, C. (eds) Intelligent Distributed Computing XV. IDC 2022. Studies in Computational Intelligence, vol 1089. Springer, Cham. https://doi.org/10.1007/978-3-031-29104-3_30

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