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New Challenges for Urban Air Mobility Systems: Aerial Cooperative Vehicles

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Intelligent Distributed Computing XIV (IDC 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1026))

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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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References

  1. Ali, B., Gregory, M., Li, S.: Multi-access edge computing architecture, data security and privacy: a review. IEEE Access (2021)

    Google Scholar 

  2. Bekkouche, O., Taleb, T., Bagaa, M.: Uavs traffic control based on multi-access edge computing. In: 2018 IEEE Global Communications Conference, pp. 1–6. IEEE (2018)

    Google Scholar 

  3. Bertram, J., Yang, X., Brittain, M., Wei, P.: Online flight planner with dynamic obstacles for urban air mobility. In: AIAA Aviation 2019 Forum, pp. 3625 (2019)

    Google Scholar 

  4. Holden, J., Goel, N.: Uber elevate: fast-forwarding to a future of on-demand urban air transportation. uber technologies. Inc., San Francisco, CA (2016)

    Google Scholar 

  5. Jiang, T., Geller, J., Ni, D., Collura, J.: Unmanned aircraft system traffic management: concept of operation and system architecture. Int. J. Transp. Sci. Technol. 5(3), 123–135 (2016)

    Article  Google Scholar 

  6. Kopardekar, P.: Unmanned aircraft system (uas) traffic management (utm): Enabling civilian low-altitude airspace and unmanned aerial system operations (2016)

    Google Scholar 

  7. Kopardekar, P., Rios, J., Prevot, T., Johnson, M., Jung, J., Robinson, J.: Unmanned aircraft system traffic management (utm) concept of operations. In: 16th AIAA Aviation Tech., Integration, and Operations Conf., pp. 1–16. AIAA (2016)

    Google Scholar 

  8. Lascara, B., Lacher, A., DeGarmo, M., Maroney, D., Niles, R., Vempati, L.: Urban air mobility airspace integration concepts: Operational concepts and exploration approachs. Technical report, MITRE CORP MCLEAN VA MCLEAN (2019)

    Google Scholar 

  9. Li, J., Zhou, Y., Lamont, L.: Communication architectures and protocols for networking unmanned aerial vehicles. In: 2013 IEEE Globecom Work, pp. 1415–1420. IEEE (2013)

    Google Scholar 

  10. Moore, M.: Concept of operations for highly autonomous electric zip aviation. In: 12th AIAA Aviation Tech., Integration, and Operations Conf., pp. 1–15 (2012)

    Google Scholar 

  11. Nguyen, T.: Dynamic delegated corridors and 4d required navigation performance for urban air mobility (uam) airspace integration. J. Aviat./Aerosp. Educ. Res. 29(2), 57–72 (2020)

    Google Scholar 

  12. Postorino, M.N., Sarné, G.M.L.: Reinventing mobility paradigms: flying car scenarios and challenges for urban mobility. Sustainability 12(9), 3581 (2020)

    Article  Google Scholar 

  13. Rohde, Schwarz: An overview of current research and developments in urban air mobility–setting the scene for uam introduction. In: Report (2020)

    Google Scholar 

  14. Rothfeld, R., Fu, M., Balać, M., Antoniou, C.: Potential urban air mobility travel time savings: an exploratory analysis of munich, paris, and san francisco. Sustainability 13(4), 2217 (2021)

    Article  Google Scholar 

  15. Samir Labib, N., Danoy, G., Musial, J., Brust, M., Bouvry, P.: Internet of unmanned aerial vehicles—a multilayer low-altitude airspace model for distributed uav traffic management. Sensors 19(21), 4779 (2019)

    Google Scholar 

  16. Schalk, L.: Communication links for unmanned aircraft systems in very low level airspace. In: 2017 Integrated Communications, Navigation and Surveillance Conference (ICNS), pp. 6B2–1. IEEE (2017)

    Google Scholar 

  17. SESAR. U-space blueprint (2017). https://www.sesarju.eu/sites/default/files/documents/reports/U-space%20Blueprint.pdf

  18. SESAR. Supporting safe and secure drone operations in europe (2020). https://www.sesarju.eu/sites/default/files/documents/u-space/U-space%20Drone%20Operations%20Europe.pdf

  19. Straubinger, A., Rothfeld, R., Shamiyeh, M., Büchter, K., Kaiser, J., Plötner, K.: An overview of current research and developments in urban air mobility-setting the scene for uam introduction. J. Air Transp. Manag. 87, 101852 (2020)

    Google Scholar 

  20. Thipphavong, D., Apaza, R., Barmore, B., Battiste, V., Burian, B., Dao, Q., et al.: Urban air mobility airspace integration concepts and considerations. In: 2018 Aviation Tech., Integration, and Operations Conf., p. 3676 (2018)

    Google Scholar 

  21. U.S. Department of Transportation. Order jo 7210.3w section 5. charted vfr flyway planning chart program. FAA (2010)

    Google Scholar 

  22. Verma, S., Monheim, S., Moolchandani, K., Pradeep, P., Cheng, A., et al.: Lessons learned: using utm paradigm for urban air mobility operations. In: 39th Digital Avionics Systems Conf., pp. 1–10. IEEE (2020)

    Google Scholar 

  23. Yang, X., Wei, P.: Scalable multi-agent computational guidance with separation assurance for autonomous urban air mobility. J. Guid. Control Dyn. 43(8), 1473–1486 (2020)

    Article  Google Scholar 

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Correspondence to Chiara Caterina Ditta .

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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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