AutoMat’s Common Vehicle Information Model (CVIM) at Vehicular Technology Conference 2017 in Sydney

March 7th, 2017
Sydney, Australia

The paper “Car-To-Cloud Communication Traffic Analysis Based on the Common Vehicle Information Model” has been accepted for presentation at the Vehicular Technology Conference (VTC) 2017 in Sydney. In their work, researchers from TU Dortmund University analyzed the impact of car-to-cloud communication on LTE (Long Term Evolution) infrastructure and network capacity, when a large number of vehicles send CVIM data streams into the cloud. Hereby, the authors simulated the movement of vehicles in a large-scale environment and combined the results of the individual vehicle’s mobility with a LTE communication model. The results provide a reference for efficient resource scheduling in the context of car-to-cloud services for smart cities.

The Common Vehicle Information Modelis the novel vehicle data model, which is developed within the scope of the AutoMat project. It harmonizes proprietary data into brand-independent generic datasets. This enables service providers to easily scale up applications and services as they receive similar data from a large number of vehicles from different car manufacturers.

The VTC is a semiannual academic conference on wireless communications in the context of vehicles, which is organized by the Institute of Electrical and Electronics Engineers (IEEE) Vehicular Technology Society (VTS). VTC takes place from 4th to 7th of June 2017 in Sydney, Australia.