SELFY

Linked projects

Find below a list of SELFY’s sister projects.

PoDIUM

Accelerating the implementation of Connected, Cooperative and Automated Mobility technology

PoDIUM project creates a set of key technologies in the physical and digital part of the infrastructure with the objective to address the challenges in road automation and telecommunications linked with connectivity, cooperation, data management, interoperability and reliability to foster the development of advanced CCAM solutions.

FRONTIER

Next generation network and traffic management for future mobility

One of the main themes of FRONTIER is the integration of Connected and Automated Vehicles into the traffic management.The project provides the network and integrated traffic management strategies of the future, taking into account new types and modes of transport automated vehicles, towards the minimisation of pollution and capacity bottlenecks, the reduction of accidents, and the need to reduce the cost of mobility for all users (both citizens, public authorities and businesses).

CONNECT

Continuous and Efficient Cooperative Trust Management for Resilient CCAM

The CONNECT project has the objective to assess the convergence of safety and security in CCAM sector by assessing dynamic trust relationships and defining a trust reasoning framework based on which involved entities can establish trust for cooperatively executing safety-critical functions.

AIthena

Building trustworthy, explainable, and accountable CCAM technologies

The AIthena project is creating trustworthy, explainable and accountable CCAM technologies contributing to build Explainable AI in CCAM development and testing frameworks, researching three main AI pillars: data, models and testing.

Move2CCAM

MethOds and tools for comprehensiVE impact Assessment of the CCAM solutions for passengers and goods

The Move2CCAM project is developing a practical system dynamics-based impact assessment tool to enable the evaluation of CCAM interventions’ impact on mobility and societal-related aspects considering diverse European regions specifics and different actors’ needs, objectives and perceptions.

AUGMENTED CCAM

Augmenting and Evaluating the Physical and Digital Infrastructure for CCAM deployment

The AUGMENTED CCAM project has the objective to understand, harmonise and evaluate in an augmented manner adapted and novel support solutions of Physical, Digital and Communication (PDI) infrastructure, to advance its readiness for large scale deployment of CCAM solutions for all.

FAME

Framework for coordination of Automated Mobility in Europe

FAME project is developing an EU Framework for Testing on Public Roads, organizes events and maintains the EU wide Knowledge Base on CCAM with the aim to facilitate the sharing of best practices and lessons learned to support the collaboration within the community of CCAM needed for the organization and evaluation of large-scale demonstration and future scale-up to the impacts of complete CCAM solutions.

SUNRISE

Safety assurance framework for connected and automated mobility systems

The SUNRISE project aims to develop and provide a harmonised and scalable CCAM Safety Assurance Framework that fulfils the needs of different automotive stakeholders, for a continuously evolving number of use cases and scenarios.). The test cases will be derived from a variety of CCAM systems and use cases, including urban and highway driving of passenger cars, but also automated parking of freight vehicles. Technical results and demonstrators include a CCAM safety assessment method and toolchain, as well as an interactive user handbook, and an EU data framework including test case library.

AWARD

Scaling autonomous logistics

The AWARD project is developing and operating safe autonomous transportation systems (ATS) in a wide range of real-life logistic use cases in a variety of different scenarios. The final goal of AWARD is to enable an overall autonomous logistic chain through safe and efficient connected and automated heavy-duty vehicles in real logistics operations.