A future where all connected vehicle services can deliver the full benefits of big data enabling intelligent driving, improved safety, increased efficiency and greater reliability.
AECC works with leaders across industries to drive the evolution of edge network architectures and computing infrastructures to enable high-volume data services to deliver a smarter, more efficient connected vehicle services future…..
AECC is pursuing our mission through development of use cases, PoCs, technical reports and reference architectures.
The Consortium is creating the network and computing use case requirements for connected vehicle services. Examples are high-definition map creation and distribution, intelligent driving, remote diagnostic maintenance, mobility-as-a-services, and V2Cloud assist. Eventually our work will expand to emerging mobile devices such as drones, robots and other types of vehicles.
Our technical reports and white papers inform standards and open-source communities on best practices and requirements for deploying distributed and layered computing architecture for connected cars. Related technologies include public and private clouds, telecommunications networks and mobile devices. The PoCs demonstrate commercial uses cases using the described requirements for deployment.
Consortium publications discuss reference architectures for next-generation mobile networks and cloud that are suitable for connected vehicle services use cases. For example, AECC is addressing efficiency issues in resource utilization from the viewpoints of communication bandwidth, computational power, and storage capacity. Defining reference architectures is necessary to determine the best way to meet various requirements by appropriate parameter settings with as small an impact as possible on system architecture complexity. Resolving these issues may include, but not be limited to architectures for in-vehicle systems, edge computing, process/task migration, network virtualization (SDN/NFV), network interface/messaging, data center fabric and multiple-accesses (Wi-Fi/Cellular, etc.), relation to public cloud infrastructure and cross-network application orchestration.
For additional information, please download our white paper, General Principles and Vision.
- Define specifice connected vehicle services use cases and requirements with a focus on networking and computing requirements for automative big data.
- Formulate a roadmap strategy from technology development to market introduction, including the network evolution.
- Identify relevant communities for standardization and open-source software development, and support these with inputs for use cases and requirements with measures of success.
- Address efficiency issues in resource utilization such as communication bandwidth, computational power, and storage capacity. Examples of solutions may include in-vehicle systems; edge computing; distributed cloud; process/task migration; network virtualiztion (SDN / NFV) containerization (micro-service); network interface/messaging; data center fabric; and multiple access (Wi-Fi, cellular, etc.).
AECC Vision Presented by Ken-ichi Murata (Toyota), Chairperson