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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    Title :

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


    Contributors:

    Conference:

    2019


    Publication date :

    2019


    Size :

    3 pages


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    Unknown



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