CVNIApr 13, 2022

5G Features and Standards for Vehicle Data Exploitation

arXiv:2204.06211v13 citationsh-index: 14
Originality Synthesis-oriented
AI Analysis

This work is incremental, providing a review of 5G features and standards to support data exploitation for stakeholders in connected and automated mobility.

The paper addresses the challenge of handling large volumes of real-time vehicle data by identifying key 5G features that enable a scalable, flexible, reliable, and secure data pipeline, leveraging standards for implementation.

Cars capture and generate huge volumes of data in real-time about the driving dynamics, the environment, and the driver and passengers' activities. Due to the proliferation of cooperative, connected and automated mobility (CCAM), the value of data from vehicles is getting strategic, not just for the automotive industry, but also for many diverse stakeholders including small and medium-sized enterprises (SMEs) and start-ups. 5G can enable car-captured data to feed innovative applications and services deployed in the cloud ensuring lower latency and higher throughput than previous cellular technologies. This paper identifies and discusses the relevance of the main 5G features that can contribute to a scalable, flexible, reliable and secure data pipeline, pointing to the standards and technical reports that specify their implementation.

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