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.
Building the future of Mobility with Digital Twin Technology
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
FRODDO Project Presented at the Artificial Intelligence for Road Safety and Mobility Workshop in Athens
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.
Navigating the Transition: AI-Driven Traffic Management for Mixed AV and Human-Driven Vehicle Ecosystems
In the transport system of the future, and before the full integration of autonomous vehicles (AVs), mixed traffic conditions involving both AVs and human-driven vehicles will coexist. In these transitional phases, traffic management strategies should be able to adapt to all users’ requirements and their effectiveness will be essential to maintain traffic flow and safety. Such TMS may refer to vehicle platooning—where AVs and human-driven vehicles travel in close, coordinated formations— or dynamic lane reversal strategies – where a specific part of the road changes its use based on the dynamic demand. This need is particularly crucial during non-recurrent events on the network, such as roadworks, accidents, and temporary lane closures.
FRODDO will develop new approaches improving security V2V communications
Vehicle-to-vehicle (V2V) communications can be extremely useful in improving the safety of all road users. Connected, Cooperative and Automated Mobility approaches, such as those promoted by the CCAM consortium, allow the data received from on-board vehicle sensors to be complemented with information from vehicles outside the range of the sensors, thus improving the perception of ADAS systems and their ability to react promptly to dangerous conditions and prevent damage.
