What is AUGMENTED CCAM

Aims

AUGMENTED CCAM aims 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.

The project will elaborate, extend and harmonise PDI classification and support levels mapping co-determined PDI priority requirements and adaptations. Based on this and by deploying an open sharing technology agnostic service operational framework and architecture for PDI enabled CCAM, addressing all CCAM actors via multi-cooperation models, the project will develop 11 PDI support solutions (aiming at TLR 6-7) that will apply and evaluate in different configurations in seven (7) test sites across three (3) European Countries (France, Latvia, Spain), encompassing a vast spectrum of physical (living labs, closed areas, open traffic highway, urban and periurban/rural environments) and virtual (DT, AV & driving simulators) test beds. AI and Big Data advanced techniques and crowdsourced HD maps will leverage the whole transport system and its users’ situational awareness, prediction and actuation.

The different test activities findings, supported by micro and macroscopic traffic simulations, will allow the assessment of different PDI support on functional safety of the whole transport infrastructure, on traffic safety and efficiency, driving behaviour, environmental footprint, service reliability, trust & security, considering the socioeconomic benefits and costs of all actors, and the issue of roadmap and recommendations, proposing risk-aversion decision making tools and methodologies for policy making and CCAM - ready infrastructure investments.

AUGMENTED CCAM, coordinated by FEHRL, consists of a multi-stakeholder Consortium of 26 Partners from 12 European countries and one Associated partner from Switzerland. Roughly 50% of them are firms (30% Industries, 50% of which road operators, and 18,5% of them SMEs).

Objectives 

• To explore, understand, elaborate, extend and harmonise PDI terminology, clustering, and support levels that will support co-determined PDI requirements and adaptations.
• To define an open sharing technology agnostic service operational framework and architecture for PDI-enabled CCAM services and solutions, addressing the needs of all CCAM actors and modes.
• To develop optimised and novel PDI support solutions (reaching TLR 6-7 at the end of the project) aiming to enhance the AVs ODD and the whole transport system functional safety by deploying AI and Big Data advanced techniques to leverage situational awareness, prediction and actuation.
• To evaluate the proposed PDI based CCAM solutions applying an augmented and multi-layered operational and evaluation framework, that will deploy a vast spectrum of physical (in highways, controlled areas and Living Labs, rural/peri-urban contexts) and virtual (DT, AV, and driving simulators) test beds, supported by crowdsourced HD maps and microscopic and macroscopic traffic simulation activities.
• To assess the impacts of the proposed PDI enhancements and novelties on CCAV ODD and CCAM operation on functional and traffic safety, driving behavior, traffic efficiency, environmental footprint, service reliability, trust & security considering the socioeconomic benefits and costs of all participating actors in short, medium and long term horizon.
• To come up with a -commonly agreed by all actors -roadmap and recommendationstowards a harmonised PDI for large-scale CCAM demonstration and deployment; as well as a risk-aversion decision-making tool and methodologies for policy-making andCCAM -ready infrastructure investments against varying business models.

Keywords: 

Transport engineering, intelligent transport systems, Physical & Digital Infrastructure, CCAM, Digital Twins, Operational Design Domain, Infrastructure Support for Automated Driving, PDI classification and support schema, service architecture

Project duration: 40 months (1 September 2022 - 31 December 2025)