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AECC Releases White Paper on Digital Twins in Automotive Services

via Business Wire

Paper Explores the Role of Digital Twins in Enhancing Mobility Through Edge Computing

The Automotive Edge Computing Consortium (AECC) has announced the release of its latest white paper, Digital Twin Use Cases for Automobiles. This document delves into the transformative potential of digital twins in the automotive industry, focusing on real-time data processing and edge computing to optimize mobility services.

Accurate digital representations of real-world entities play a crucial role in the simulation and prediction of complex systems. Digital twins — virtual replicas of physical objects and environments — are poised to revolutionize connected vehicle services, enabling safer, more enjoyable, and environmentally friendly mobility experiences.

“AECC's latest white paper examines how digital twins enhance data collection and sharing across cloud and edge computing platforms to support connected vehicle ecosystems,” said AECC President and Chair Dr. Ryokichi Onishi, a Principal Engineer and General Manager at Toyota Motor Corporation. “Strengthening collaboration across industry verticals will be crucial for the successful deployment of digital twin solutions that enhance vehicle connectivity, efficiency, and safety.”

Key Use Cases in the Automotive Sector

The white paper identifies three primary use cases of digital twins in the automotive domain:

  • Road Traffic Optimization: Utilizing road event digital twins to enhance traffic flow and reduce congestion.
  • Personalized Cruise Assist: Leveraging driver behavior digital twins to customize driving assistance features.
  • Vehicle Resource Sharing: Employing vehicle digital twins to optimize fleet and shared mobility services.

Each use case highlights how digital twins interact within complex systems and outlines the requirements for edge computing infrastructure to support these advancements.

AECC’s Vision and Technological Framework

The AECC underscores edge computing as a pivotal enabler of efficient big data processing in connected vehicle ecosystems. To achieve this, the white paper explores key technological solutions, including:

  • Edge Data Offloading
  • Multi-Service Provider (MSP) Server Selection
  • Vehicle System Reachability
  • Access Network Selection
  • Provisioning and Configuration Updates
  • Opportunistic Data Transfer

By addressing these technological needs, AECC aims to foster industry-wide adoption of edge computing solutions, ensuring seamless data integration and real-time decision-making capabilities for connected vehicles.

Participate in the AECC’s Proof of Concept (PoC) Program

Organizations interested in collaborating with the AECC on a PoC can initiate the process by contacting ProofofConcept@aecc.org. For a glimpse into how AECC's ongoing PoCs successfully address data challenges, access PoC case studies and on-demand videos at https://aecc.org/proof-of-concepts/.

Collaborate with OEMs, MNOs, Cloud Providers and App Players

All companies interested in contributing to the connected vehicle services ecosystem are encouraged to become AECC members. AECC membership is open to organizations across any business vertical. To learn more about AECC membership, visit https://aecc.org/membership/.

About the AECC

The Automotive Edge Computing Consortium (AECC) is an association of cross-industry, global leaders working to explore the rapidly evolving and significant data and communications needs involved in instrumenting billions of vehicles worldwide. The AECC’s goal is to find more efficient ways to develop distributed computing and infrastructure network architectures to support the high-volume data needed for intelligent vehicle services. The AECC’s members are key players in the automotive, high-speed mobile network, edge computing, wireless technology, distributed computing and artificial intelligence markets. For more information about the AECC and its membership benefits, please visit https://aecc.org/.

“AECC's latest white paper examines how digital twins enhance data collection and sharing across cloud and edge computing platforms to support connected vehicle ecosystems,” said AECC President and Chair Dr. Ryokichi Onishi.

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