AECC proposes data-first framework for vehicle data

The Automotive Edge Computing Consortium (AECC) has published a white paper proposing a distributed architecture for managing the growing volume of data generated by connected and software-defined vehicles. The consortium said modern vehicles can produce tens of gigabytes of data per day, exceeding the capacity of traditional internet-of-things frameworks.

The data-first architecture uses a three-tier model. A peer-to-peer layer enables nearby vehicles to exchange and aggregate data locally. An edge layer processes and offloads traffic through localised computing resources such as edge data centres and Wi-Fi access points. A mobile and cloud layer provides centralised coordination, large-scale data management and long-term storage. AECC said the approach allows data to be handled at the most appropriate layer, improving energy efficiency and reducing network strain.

Dr Ryokichi Onishi, AECC Board Chairperson, said: “By combining diverse communication methods, including cellular, Wi-Fi, and inter-vehicle data transfer, with distributed computing across vehicles, edge infrastructure, and cloud platforms, the data-first architecture offers a practical path forward for managing automotive data at scale.”

AECC said the framework will support AI applications expanding beyond driving systems into areas such as infotainment, voice assistants and personalised travel recommendations.

Source: AECC