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2019
Conference Paper
Title
Large-scale Modeling of Future Automotive Data Traffic towards the Edge Cloud
Abstract
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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