Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The AutoMat CVIM - A Scalable Data Model for Automotive Big Data
  Marketplaces   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 common 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.

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The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: eess
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The categories of this paper are: stat
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
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The categories of this paper are: nucl-ex
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The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
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The categories of this paper are: econ
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The categories of this paper are: atom-ph
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The categories of this paper are: mtrl-th
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The categories of this paper are: acc-phys
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The categories of this paper are: ao-sci
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The categories of this paper are: q-bio