Internet Archive Scholar

The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces [article]

Johannes Pillmann and Benjamin Sliwa and Christian Wietfeld
2018 arXiv   pre-print

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (1.0 MB)
https://web.archive.org/web/20200903054054/https://arxiv.org/pdf/1805.05467v1.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

In the past years, connectivity has been introduced in automotive production series, enabling vehicles as highly mobile Internet of Things sensors and participants. The Horizon 2020 research project AutoMat addressed this scenario by building a vehicle big data marketplace in order to leverage and exploit crowd-sourced sensor data, a so far unexcavated treasure. As part of this project the Common Vehicle Information Model (CVIM) as harmonized data model has been developed. The CVIM allows a
more » ... on understanding and generic representation, brand-independent throughout the whole data value and processing chain. The demonstrator consists of CVIM vehicle sensor data, which runs through the different components of the whole AutoMat vehicle big data processing pipeline. Finally, at the example of a traffic measurement service the data of a whole vehicle fleet is aggregated and evaluated.
arXiv:1805.05467v1 fatcat:tgnez522jvb5nnodfbbhsxrywe
Citation

Johannes Pillmann and Benjamin Sliwa and Christian Wietfeld. "The AutoMat CVIM - A Scalable Data Model for Automotive Big Data Marketplaces." arXiv (2018)