CYCVNIAug 24, 2022

Monetisation of and Access to in-Vehicle data and resources: the 5GMETA approach

arXiv:2208.11335v12 citationsh-index: 14
Originality Synthesis-oriented
AI Analysis

This tackles data management issues for automotive and smart city stakeholders, but appears incremental as it builds on existing solutions.

The paper addresses challenges in accessing and monetizing in-vehicle data and resources, comparing existing commercial solutions with the novel approach from the H2020 5GMETA project.

Today's vehicles are increasingly embedded with computers and sensors which produce huge amount of data. The data are exploited for internal purposes and with the development of connected infrastructures and smart cities, the vehicles interact with each other as well as with road users generating other types of data. The access to these data and in-vehicle resources and their monetisation faces many challenges which are presented in this paper. Furthermore, the most important commercial solution compared to the open and novel approach faced in the H2020 5GMETA project.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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