Trajectory management is a critical undertaking in urban air mobility (UAM) to ensure safe, secure, and efficient operations. Cooperative targets have the capability to report their information while managing non-cooperative targets presents a challenge in the UAM operational environment (UOE). Consequently, ground-based non-cooperative surveillance assumes a vital role in monitoring anomalies. Given the difficulties associated with implementing centralized management in a large metropolitan area, this study proposes a distributed management architecture that leverages ground-based edge intelligence to enhance resilience in performing relevant tasks. It demonstrates that employing a developed edge computing system yields superior efficiency for heterogeneous sensors and their corresponding algorithms, such as detection, fusion, and tactical conflict management, compared to typical cloud servers. Furthermore, the proposed architecture incorporates an adaptive load balancing scheme, which monitors the real-time tasks and balances tasks among multiple edge devices to enhance the efficient resource management of the edge intelligence system. Ultimately, the distributed system offers energy-saving benefits and guarantees performance, making it suitable for providing services to diverse stakeholders involved in UAM.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Trajectory Management for Urban Air Mobility Operations with Ground-based Edge Intelligence


    Beteiligte:
    Huang, Cheng (Autor:in) / Petrunin, Ivan (Autor:in) / Tsourdos, Antonios (Autor:in)


    Erscheinungsdatum :

    01.10.2023


    Format / Umfang :

    2098991 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Trajectory-Based Urban Air Mobility (UAM) Operations Simulator (TUS)

    Neto, Euclides C. Pinto / Baum, Derick M. / Junior, Jorge Rady de Almeida et al. | ArXiv | 2019

    Freier Zugriff

    Airborne Trajectory Management for Urban Air Mobility

    Cotton, William / Wing, David J. | NTRS | 2018


    Airborne Trajectory Management for Urban Air Mobility

    Cotton, William B. / Wing, David J. | AIAA | 2018


    Urban Air Mobility Trajectory Planning

    Exadaktylos, Stylianos / Vitale, Christian / Kolios, Panayiotis et al. | IEEE | 2023


    Airborne Trajectory Management for Urban Air Mobility (AIAA 2018-3674)

    Cotton, William B. / Wing, David J. | British Library Conference Proceedings | 2018