We elaborate traffic types and volumes generated by mobile automotive users and examine their impact on metropolitan transport networks. Utilizing a large-scale joint simulation environment, including vehicle traffic, future automotive applications, and novel network architectures, we generate data traffic demand estimations for the rather large area of Berlin-Brandenburg, Germany. Additionally, we include a comprehensive study about traffic estimations of fixed access traffic. In future works, this model can then be used for developing and testing future network and reconfiguration algorithms.


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    Titel :

    Large-scale Modeling of Future Automotive Data Traffic towards the Edge Cloud


    Beteiligte:
    Protzmann, Robert (Autor:in) / Hübner, Karl (Autor:in) / Ascheuer, Norbert (Autor:in) / Raack, Christian (Autor:in) / Bauknecht, Uwe (Autor:in) / Enderle, Tobias (Autor:in) / Witt, Arthur (Autor:in) / Gebhard, Ulrich (Autor:in)

    Kongress:

    2019


    Erscheinungsdatum :

    2019


    Format / Umfang :

    3 pages


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt



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