Cars capture and generate huge volumes of data in real-time, including the driving dynamics, the environment, and the driver and passengers' activities. With the proliferation of Connected and Automated Mobility (CAM) applications, the value of vehicle data is getting higher for the automotive industry as it is not limited to onboard systems and services. This paper proposes an architecture that exploits Multi-access Edge Computing (MEC) technology of 5G networks to enable data monetisation. It employs a virtualisation framework that instantiates on consumer demand pipelines that process data samples according to Service Level Agreement (SLA) policies, licensing terms and Region Of Interest (ROI) clusters with a privacy-centric design. In addition, the aspects that need to be considered when creating a data marketplace for the automotive sector are identified while highlighting the design features that go beyond the current scientific and market solutions.

翻译：汽车在行驶过程中实时捕获并生成海量数据，涵盖驾驶动态、环境信息以及驾驶员与乘客的活动。随着互联与自动化出行（CAM）应用的普及，车辆数据对汽车行业的价值日益提升，其应用范围已不局限于车载系统与服务。本文提出一种利用5G网络多接入边缘计算（MEC）技术实现数据货币化的架构。该架构采用虚拟化框架，根据消费需求即时生成数据处理流水线，依据服务水平协议（SLA）策略、许可条款及兴趣区域（ROI）集群处理数据样本，并采用以隐私为中心的设计。此外，本文识别了构建汽车行业数据市场所需考量的关键要素，同时重点阐述了超越当前科学及市场解决方案的设计特性。