Roads are an unpredictable environment where potential dangers can occur at any moment—from drivers getting distracted or driving aggressively to unexpected pedestrian behavior, sudden traffic congestion, and slippery roads after a quick rain. Today, vehicles are becoming smarter and safer, with built-in sensors that can detect nearby risks in zero time. However, road safety should not depend on a single vehicle’s perspective, but rather on an interconnected ecosystem of multiple vehicles, smart roadside infrastructure, traffic centers, and multiple external data sources. The FRODDO Connected, Cooperative, and Automated Mobility (CCAM) ecosystem brings these sources together and allows the detection of risks that no single vehicle could identify on its own.

In FRODDO, we are dedicated to shaping the future of automated and connected mobility. To this end, all partners actively contribute to FRODDO’s exploitation activities, ensuring both short-term and long-term valorisation of the knowledge generated. To further reinforce these activities, the project has recently activated the Horizon Results Booster service; an initiative from the European Commission to enhance exploitation and dissemination activities of EU-funded projects.

ITML leads and coordinates exploitation activities, facilitating communication between contributing partners and the external Horizon Results Booster experts.

Progress so Far: From Results to Strategy

Cooperative, Connected and Automated Mobility (CCAM) offers the opportunity to improve traffic safety for all users and alleviate congestion. The European Union’s FRODDO Project aims to address the Operational Design Domain (ODD) issue by expanding the envelope within which a CCAM system can operate without human intervention. Frontier Innovations, in its capacity as one of the FRODDO Project Partners, examines the limitations of current CCAM system ODDs by studying both the current standards regarding Automated Driving System ODDs, as well as cutting-edge research, develops ways to predict when a CCAM system will find itself outside its ODD and thereby require human intervention, and develops behavioral models that allow CCAM to predict the actions of other road users, which enables safe and efficient interactions within a complex traffic environment.

The Digital Twin concept, initially introduced in the 1960s has experienced rapid uptake at the beginning of the twenty-first century. Over the last two decades,s is has evolved from a simple virtual replica mostly used in manufacturing to complex, real-time, AI-driven systems able to model cities, critical infrastructures, buildings, and traffic. 

Digital Twin and CCAM

    On May 15th, 2025, the FRODDO project was prominently featured at the Artificial Intelligence for Road Safety and Mobility Scientific Workshop, held in Athens and online. Dr. Panagiotis Fafoutellis from the National Technical University of Athens (NTUA) delivered a comprehensive presentation of FRODDO, showcasing the project’s innovative work in AI-assisted traffic management and smart mobility.

    The workshop, organized by the NTUA Department of Transportation Planning and Engineering, brought together experts, researchers, and stakeholders from across Europe, with more than 20 research projects presented throughout the day. The event provided an excellent platform for sharing cutting-edge research and exchanging knowledge on how artificial intelligence is shaping the future of road safety and mobility.