6GTWINROAD
6G technologies for the development of digital twins for connected and autonomous mobility (CAM) on the roads.

Pioneering the Future of Urban and Inter-Urban Mobility with 6G-Enabled Digital Twins

Welcome to 6GTwinRoad, an i2CAT-led project transforming urban, inter-urban, and highway mobility through 6G connectivity and intelligent digital twin technology

Project Overview 

What is 6GTWINROAD?

6GTWINROAD is an innovative research project led by i2CAT, designed to advance connected and autonomous mobility in urban, inter-urban, and highway environments. Through next-generation 6G technology and real-time digital twins, we’re transforming how vehicles, roadside infrastructure, and networks interact to create a safer and more efficient mobility ecosystem across varied road types.

Principal Investigator

Dr. Jesús Alonso-Zarate

Dr. Jesús Alonso-Zarate

 

    • Predictive QoS Management: Using AI to predict and maintain quality of service in high-density traffic and across different road environments, ensuring reliable vehicle connectivity.
    • Cooperative and Remote Driving: Enabling real-time, coordinated driving maneuvers across both city intersections and highways for enhanced safety and efficiency.
    • 3D Mapping and Object Tracking: Deploying high-resolution, volumetric mapping and object tracking technology suitable for both urban and highway settings.
    • Digital Twin Technology: Utilizing digital twins to simulate and optimize traffic management, congestion control, and incident response in diverse mobility scenarios, from city streets to highways.

6GTWINROAD is more than a research project—it’s a collaborative journey where applied research meets real-world implementation. Led by i2CAT Foundation, 6GTWINROAD unites some of the most innovative companies in mobility, telecommunications, and automotive technology. Together, we turn research into action, creating solutions that can be deployed across urban, inter-urban, and highway environments to solve the mobility challenges of tomorrow.

As a leading research center, i2CAT’s role in this project is to bridge the gap between advanced research and industry impact, ensuring our discoveries are shared and implemented directly with key industry players.

6GTWINROAD is shaping the future of mobility not only within urban centers but also across highways and inter-urban corridors. By enhancing safety, reducing congestion, and supporting environmental sustainability, 6GTwinRoad aligns with Europe’s vision for smarter, greener, and safer roads.

    • Safety: Reduced accident risks on all road types
    • Sustainability: Lower emissions and fuel consumption
    • Efficiency: Real-time optimization across urban and inter-urban routes

6GTWINROAD integrates 6G connectivity, advanced sensors, and digital twins to address the unique technical challenges of diverse road environments, from city streets to high-speed highways.

    • Predictive QoS Algorithms: Addressing network awareness for uninterrupted connectivity
    • Cooperative Driving Validation: Tackling high-speed, low-latency requirements in real-world settings
    • 3D Mapping Techniques: Real-time video processing for accurate mapping in varied road contexts
    • Digital Twin Architecture: Real-time simulation for urban, inter-urban, and highway traffic management

This subproject focuses on the design based on artificial intelligence and machine learning (IA/ML) techniques of the control plane of network slices, dedicated to V2X/Digital Twin services in a vehicular network with advanced 5G or 6G connectivity and with cloud computing capabilities.

The objective of this subproject is to analyze the impact of 6G technologies on both current networks and Traffic Management Centers (TMC) to support new CCAM (Cooperative, connected and automated mobility) applications, which are strongly focused on cooperative behavior and that depend on strict latency and/or bandwidth network parameters. In addition, the evolution of vehicular communication technologies that will be considered in the 6G time frame is studied, helping to align and adapt future TMC centers to the requirements of the future V2X.

This subproject investigates the use of artificial intelligence (AI) technologies to:

  1. Support the development of a digital twin of a road vehicle environment
  2. Demonstrate the sensing capability of 5G/6G technologies for object detection
  3. Integrate 5G/6G sensing technologies into realistic vehicle environments that make use of Cloud and Edge Computing technologies
  4. Contribute to the digital transformation of the automotive sector

This subproject studies the concept of Digital Twins, consisting of the virtual representation of a physical object. Specifically, in the field of V2X communications, a Digital Twin consists of a sophisticated tool for the evaluation of cooperative use cases (Day 3+), allowing the recreation of complex scenarios in which vehicles collaborate and cooperate with each other. Digital Twins require information from the real world to reproduce situations and analyse potential use cases in mobility scenarios related to urban and interurban environments.

News

Documents

Talent

Senior V2X Machine Learning Researcher

The i2CAT Foundation is looking for a Senior Researcher to join the V2X Research Line within the Mobile and Wireless Internet (MWI) group at i2CAT.
Apply

Senior V2X Researcher

The i2CAT Foundation is looking for a Senior Researcher to join the V2X Research Line within the Mobile and Wireless Internet (MWI) group at i2CAT.
Apply

Contact

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Ph. (+34) 93 553 25 10
Fax. (+34) 93 553 25 20
Email: [email protected]

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