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:汽车实时捕捉和生成大量数据,包括驱动动态、环境、驾驶员和乘客活动。随着连通和自动化机动(CAM)应用软件的激增,汽车数据对于汽车工业的价值越来越高,因为它不限于机载系统和服务。本文件建议建立一个结构,利用5G网络的多入口边缘电子计算(MEC)技术实现数据货币化。它采用虚拟化框架,即时处理消费者需求管道,按照服务级别协议的政策、许可证发放条件和以隐私为中心的设计处理数据样本。此外,在为汽车部门创建数据市场时,需要考虑的方面被确定,同时强调超出当前科学和市场解决方案的设计特点。</s>