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How FRDDO Smart Alerts can make our roads safer even before problems occur

Admin — Fri, 03 Apr 2026 13:23:26 +0000

How FRDDO Smart Alerts can make our roads safer even before problems occur Admin Fri, 04/03/2026 - 16:23

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.

The Early Warning and Alert System of FRODDO is designed to make mobility safer, smarter, and more responsive. It combines and analyzes real-time data streams from multiple sources, applying state-of-the-art computational techniques and AI algorithms. Instead of simply collecting data, the system looks for patterns and signals that indicate something unusual or potentially dangerous is about to happen. This allows the detection of emerging risks—such as unsafe driving behavior, traffic disruptions, or environmental hazards—and turns them into clear, timely alerts. These alerts can then be shared with drivers, traffic operators, or even automated systems, helping them respond faster and more effectively.

The impact is significant: earlier warnings mean fewer accidents, smoother traffic flow, and better coordination between all parts of the transport system. Also, by turning complex data into actionable insights, it lays the groundwork for the next generation of CCAM environments, where vehicles and infrastructure work seamlessly together, ensuring safety for the users.

Author: Dr. Panagiotis Moraitis, Dr. Ioannis Christou, Nikolaos Chairopoulos

Category: Blogs

🏁 𝐖𝐨𝐦𝐞𝐧 𝐛𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐰𝐡𝐞𝐞𝐥 𝐨𝐟 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧

Admin — Tue, 24 Mar 2026 08:34:52 +0000

🏁 𝐖𝐨𝐦𝐞𝐧 𝐛𝐞𝐡𝐢𝐧𝐝 𝐭𝐡𝐞 𝐰𝐡𝐞𝐞𝐥 𝐨𝐟 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 Admin Tue, 03/24/2026 - 10:34

This International Women’s Day, the FRODDO consortium proudly celebrated the remarkable women shaping the future of mobility and transport innovation.

Through the “Women Behind the Wheel of Innovation” campaign, we bring forward the voices, experiences and perspectives of women across the consortium, highlighting their role in advancing Cooperative, Connected and Automated Mobility (CCAM). From research and engineering to communication and innovation management, these women are driving progress toward safer, smarter and more inclusive mobility systems, while inspiring future generations to confidently pursue their place both in the mobility sector and behind the wheel.

Across research, technology and industry, women are playing a key role in designing mobility solutions that benefit everyone.

Discover the stories of FRODDO women as they share their personal journeys and reflections on driving innovation forward.

Eleni Vlahogianni, Elena Mantouka, Katerina Vakrinou ( School of Civil Engineering, NTUA)

" 𝘔𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘧𝘰𝘳 𝘶𝘴 𝘪𝘴 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘢𝘣𝘰𝘶𝘵 𝘮𝘰𝘷𝘪𝘯𝘨 𝘧𝘳𝘰𝘮 𝘰𝘯𝘦 𝘱𝘭𝘢𝘤𝘦 𝘵𝘰 𝘢𝘯𝘰𝘵𝘩𝘦𝘳, 𝘣𝘶𝘵 𝘪𝘵 𝘪𝘴 𝘢𝘭𝘴𝘰 𝘢 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘧𝘪𝘦𝘭𝘥 𝘵𝘩𝘢𝘵 𝘢𝘧𝘧𝘦𝘤𝘵𝘴 𝘵𝘩𝘦 𝘸𝘢𝘺 𝘤𝘪𝘵𝘪𝘦𝘴 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘦𝘷𝘰𝘭𝘷𝘦. 𝘈𝘴 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳𝘴 𝘢𝘯𝘥 𝘵𝘳𝘢𝘯𝘴𝘱𝘰𝘳𝘵 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘴 𝘢𝘵 𝘕𝘛𝘜𝘈, 𝘸𝘦 𝘢𝘳𝘦 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘰𝘯 𝘩𝘰𝘸 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘤𝘢𝘯 𝘭𝘦𝘢𝘥 𝘵𝘰 𝘴𝘢𝘧𝘦 𝘢𝘯𝘥 𝘦𝘧𝘧𝘪𝘤𝘪𝘦𝘯𝘵 𝘸𝘢𝘺𝘴 𝘰𝘧 𝘮𝘰𝘷𝘪𝘯𝘨 𝘢𝘳𝘰𝘶𝘯𝘥 𝘤𝘪𝘵𝘪𝘦𝘴. 𝘐𝘯 𝘵𝘩𝘦 𝘍𝘙𝘖𝘋𝘋𝘖 𝘱𝘳𝘰𝘫𝘦𝘤𝘵, 𝘸𝘦 𝘢𝘳𝘦 𝘤𝘰𝘯𝘵𝘳𝘪𝘣𝘶𝘵𝘪𝘯𝘨 𝘵𝘰 𝘵𝘩𝘦 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘮𝘦𝘯𝘵 𝘢𝘯𝘥 𝘥𝘦𝘱𝘭𝘰𝘺𝘮𝘦𝘯𝘵 𝘰𝘧 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘦𝘥 𝘢𝘯𝘥 𝘪𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘵 𝘵𝘳𝘢𝘯𝘴𝘱𝘰𝘳𝘵𝘢𝘵𝘪𝘰𝘯 𝘴𝘺𝘴𝘵𝘦𝘮𝘴. 𝘚𝘦𝘦𝘪𝘯𝘨 𝘮𝘰𝘳𝘦 𝘢𝘯𝘥 𝘮𝘰𝘳𝘦 𝘸𝘰𝘮𝘦𝘯 𝘱𝘶𝘳𝘴𝘶𝘪𝘯𝘨 𝘤𝘢𝘳𝘦𝘦𝘳𝘴 𝘪𝘯 𝘢𝘤𝘢𝘥𝘦𝘮𝘪𝘢 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘴𝘦𝘤𝘵𝘰𝘳 𝘮𝘢𝘬𝘦𝘴 𝘶𝘴 𝘰𝘱𝘵𝘪𝘮𝘪𝘴𝘵𝘪𝘤 𝘵𝘩𝘢𝘵 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘸𝘪𝘭𝘭 𝘣𝘦 𝘮𝘰𝘳𝘦 𝘥𝘪𝘷𝘦𝘳𝘴𝘦 𝘢𝘯𝘥 𝘪𝘯𝘤𝘭𝘶𝘴𝘪𝘷𝘦. 𝘞𝘦 𝘩𝘰𝘱𝘦 𝘵𝘰 𝘦𝘯𝘤𝘰𝘶𝘳𝘢𝘨𝘦 𝘦𝘷𝘦𝘯 𝘮𝘰𝘳𝘦 𝘸𝘰𝘮𝘦𝘯 𝘵𝘰 𝘧𝘰𝘭𝘭𝘰𝘸 𝘵𝘩𝘪𝘴 𝘱𝘢𝘵𝘩 𝘢𝘯𝘥 𝘩𝘦𝘭𝘱 𝘴𝘩𝘢𝘱𝘦 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺. "

Kristina Stojmenova Pečečnik and Sara Stančin ( University of Ljubljana)

𝐊𝐫𝐢𝐬𝐭𝐢𝐧𝐚: "𝘉𝘦𝘪𝘯𝘨 𝘢𝘣𝘭𝘦 𝘵𝘰 𝘥𝘳𝘪𝘷𝘦 𝘮𝘦𝘢𝘯𝘴 𝘤𝘩𝘰𝘰𝘴𝘪𝘯𝘨 𝘮𝘺 𝘰𝘸𝘯 𝘱𝘢𝘵𝘩 — 𝘸𝘩𝘦𝘯 𝘵𝘰 𝘨𝘰, 𝘩𝘰𝘸 𝘧𝘢𝘴𝘵, 𝘢𝘯𝘥 𝘸𝘩𝘪𝘤𝘩 𝘳𝘰𝘶𝘵𝘦 𝘵𝘰 𝘵𝘢𝘬𝘦. 𝘛𝘩𝘳𝘰𝘶𝘨𝘩 𝘮𝘺 𝘸𝘰𝘳𝘬 𝘪𝘯 𝘢𝘶𝘵𝘰𝘮𝘰𝘵𝘪𝘷𝘦 𝘏𝘔𝘐, 𝘐 𝘣𝘳𝘪𝘯𝘨 𝘢 𝘧𝘦𝘮𝘢𝘭𝘦 𝘷𝘰𝘪𝘤𝘦 𝘪𝘯𝘵𝘰 𝘵𝘩𝘦 𝘥𝘦𝘴𝘪𝘨𝘯 𝘰𝘧 𝘪𝘯-𝘷𝘦𝘩𝘪𝘤𝘭𝘦 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯𝘴 𝘵𝘩𝘢𝘵 𝘵𝘳𝘶𝘭𝘺 𝘮𝘦𝘦𝘵 𝘵𝘩𝘦 𝘯𝘦𝘦𝘥𝘴 𝘰𝘧 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘵 𝘶𝘴𝘦𝘳𝘴, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘸𝘰𝘮𝘦𝘯 𝘢𝘯𝘥 𝘨𝘪𝘳𝘭𝘴.
𝘐 𝘭𝘰𝘷𝘦 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘰𝘯 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴 𝘵𝘩𝘢𝘵 𝘸𝘪𝘭𝘭 𝘤𝘩𝘢𝘯𝘨𝘦 𝘵𝘩𝘦 𝘸𝘢𝘺 𝘸𝘦 𝘭𝘪𝘷𝘦, 𝘢𝘯𝘥 𝘪𝘵’𝘴 𝘪𝘯𝘤𝘳𝘦𝘥𝘪𝘣𝘭𝘺 𝘦𝘹𝘤𝘪𝘵𝘪𝘯𝘨 𝘵𝘩𝘢𝘵 𝘸𝘪𝘵𝘩 𝘍𝘙𝘖𝘋𝘋𝘖 𝘸𝘦’𝘳𝘦 𝘴𝘩𝘢𝘱𝘪𝘯𝘨 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘩𝘪𝘨𝘩𝘭𝘺 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘦𝘥 𝘷𝘦𝘩𝘪𝘤𝘭𝘦𝘴 𝘣𝘺 𝘪𝘮𝘱𝘳𝘰𝘷𝘪𝘯𝘨 𝘵𝘩𝘦 𝘤𝘰𝘮𝘧𝘰𝘳𝘵 𝘢𝘯𝘥 𝘶𝘴𝘦𝘳 𝘦𝘹𝘱𝘦𝘳𝘪𝘦𝘯𝘤𝘦 𝘰𝘧 𝘪𝘵𝘴 𝘶𝘴𝘦𝘳𝘴.
𝘊𝘩𝘢𝘯𝘨𝘦 𝘪𝘴 𝘵𝘩𝘦 𝘰𝘯𝘭𝘺 𝘤𝘰𝘯𝘴𝘵𝘢𝘯𝘵 𝘪𝘯 𝘭𝘪𝘧𝘦. 𝘐𝘯𝘴𝘵𝘦𝘢𝘥 𝘰𝘧 𝘫𝘶𝘴𝘵 𝘢𝘥𝘢𝘱𝘵𝘪𝘯𝘨 𝘵𝘰 𝘪𝘵, 𝘭𝘦𝘵’𝘴 𝘧𝘰𝘤𝘶𝘴 𝘰𝘯 𝘩𝘰𝘸 𝘸𝘦, 𝘢𝘴 𝘸𝘰𝘮𝘦𝘯, 𝘤𝘢𝘯 𝘤𝘰-𝘤𝘳𝘦𝘢𝘵𝘦 𝘪𝘵."

𝐒𝐚𝐫𝐚: "𝘈𝘴 𝘢 𝘸𝘰𝘮𝘢𝘯 𝘸𝘩𝘰 𝘷𝘢𝘭𝘶𝘦𝘴 𝘩𝘦𝘳 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘤𝘦 𝘢𝘯𝘥 𝘪𝘴 𝘢𝘭𝘴𝘰 𝘳𝘢𝘪𝘴𝘪𝘯𝘨 𝘢 𝘤𝘩𝘪𝘭𝘥, 𝘣𝘦𝘪𝘯𝘨 𝘢𝘣𝘭𝘦 𝘵𝘰 𝘥𝘳𝘪𝘷𝘦 𝘢𝘯𝘥 𝘤𝘰𝘯𝘥𝘶𝘤𝘵 𝘮𝘺 𝘰𝘸𝘯 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘪𝘯 𝘵𝘩𝘦 𝘧𝘪𝘦𝘭𝘥 𝘰𝘧 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘮𝘦𝘢𝘯𝘴 𝘦𝘷𝘦𝘳𝘺𝘵𝘩𝘪𝘯𝘨. 𝘐𝘵 𝘢𝘭𝘭𝘰𝘸𝘴 𝘮𝘦 𝘵𝘰 𝘮𝘰𝘷𝘦 𝘧𝘳𝘦𝘦𝘭𝘺 𝘣𝘦𝘵𝘸𝘦𝘦𝘯 𝘮𝘺 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭 𝘸𝘰𝘳𝘬 𝘢𝘯𝘥 𝘮𝘺 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘪𝘦𝘴 𝘢𝘴 𝘢 𝘱𝘢𝘳𝘦𝘯𝘵 𝘸𝘪𝘵𝘩𝘰𝘶𝘵 𝘳𝘦𝘭𝘺𝘪𝘯𝘨 𝘰𝘯 𝘰𝘵𝘩𝘦𝘳𝘴. 𝘋𝘳𝘪𝘷𝘪𝘯𝘨 𝘨𝘪𝘷𝘦𝘴 𝘮𝘦 𝘵𝘩𝘦 𝘢𝘶𝘵𝘰𝘯𝘰𝘮𝘺 𝘵𝘰 𝘦𝘹𝘱𝘭𝘰𝘳𝘦 𝘳𝘦𝘢𝘭-𝘸𝘰𝘳𝘭𝘥 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘤𝘩𝘢𝘭𝘭𝘦𝘯𝘨𝘦𝘴 𝘧𝘪𝘳𝘴𝘵𝘩𝘢𝘯𝘥, 𝘸𝘩𝘪𝘭𝘦 𝘢𝘭𝘴𝘰 𝘴𝘩𝘰𝘸𝘪𝘯𝘨 𝘮𝘺 𝘤𝘩𝘪𝘭𝘥 𝘵𝘩𝘢𝘵 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘤𝘦, 𝘤𝘶𝘳𝘪𝘰𝘴𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘱𝘦𝘳𝘴𝘦𝘷𝘦𝘳𝘢𝘯𝘤𝘦 𝘤𝘢𝘯 𝘨𝘰 𝘩𝘢𝘯𝘥 𝘪𝘯 𝘩𝘢𝘯𝘥. 𝘍𝘰𝘳 𝘮𝘦, 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘪𝘴 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘢𝘣𝘰𝘶𝘵 𝘵𝘳𝘢𝘯𝘴𝘱𝘰𝘳𝘵𝘢𝘵𝘪𝘰𝘯—𝘪𝘵’𝘴 𝘢𝘣𝘰𝘶𝘵 𝘧𝘳𝘦𝘦𝘥𝘰𝘮, 𝘰𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘰 𝘴𝘩𝘢𝘱𝘦 𝘢 𝘣𝘦𝘵𝘵𝘦𝘳 𝘧𝘶𝘵𝘶𝘳𝘦 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩. "

Eleni Vasiliki Provopoulou (Netcompany)

" 𝘚𝘵𝘢𝘳𝘵𝘪𝘯𝘨 𝘵𝘰 𝘥𝘳𝘪𝘷𝘦 𝘭𝘢𝘵𝘦𝘳 𝘪𝘯 𝘭𝘪𝘧𝘦 𝘵𝘢𝘶𝘨𝘩𝘵 𝘮𝘦 𝘩𝘰𝘸 𝘪𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘵 𝘤𝘰𝘯𝘧𝘪𝘥𝘦𝘯𝘤𝘦 𝘢𝘯𝘥 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘢𝘳𝘦 𝘧𝘰𝘳 𝘧𝘦𝘦𝘭𝘪𝘯𝘨 𝘴𝘢𝘧𝘦 𝘰𝘯 𝘵𝘩𝘦 𝘳𝘰𝘢𝘥. 𝘞𝘰𝘳𝘬𝘪𝘯𝘨 𝘪𝘯 𝘵𝘩𝘦 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘴𝘦𝘤𝘵𝘰𝘳 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘵𝘩𝘦 𝘍𝘙𝘖𝘋𝘋𝘖 𝘱𝘳𝘰𝘫𝘦𝘤𝘵 𝘩𝘢𝘴 𝘴𝘩𝘰𝘸𝘯 𝘮𝘦 𝘩𝘰𝘸 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘤𝘢𝘯 𝘮𝘢𝘬𝘦 𝘥𝘳𝘪𝘷𝘪𝘯𝘨 𝘴𝘢𝘧𝘦𝘳 𝘢𝘯𝘥 𝘴𝘮𝘢𝘳𝘵𝘦𝘳 𝘧𝘰𝘳 𝘦𝘷𝘦𝘳𝘺𝘰𝘯𝘦. 𝘈𝘴 𝘵𝘩𝘦 𝘋𝘪𝘴𝘴𝘦𝘮𝘪𝘯𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯 𝘔𝘢𝘯𝘢𝘨𝘦𝘳 𝘰𝘧 𝘵𝘩𝘦 𝘍𝘙𝘖𝘋𝘋𝘖 𝘱𝘳𝘰𝘫𝘦𝘤𝘵, 𝘐 𝘢𝘮 𝘱𝘳𝘰𝘶𝘥 𝘵𝘰 𝘱𝘳𝘰𝘮𝘰𝘵𝘦 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯𝘴 𝘵𝘩𝘢𝘵 𝘮𝘢𝘬𝘦 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘴𝘢𝘧𝘦𝘳 𝘢𝘯𝘥 𝘮𝘰𝘳𝘦 𝘢𝘤𝘤𝘦𝘴𝘴𝘪𝘣𝘭𝘦. 𝘐 𝘵𝘳𝘶𝘭𝘺 𝘣𝘦𝘭𝘪𝘦𝘷𝘦 𝘵𝘩𝘢𝘵 𝘸𝘰𝘮𝘦𝘯 𝘴𝘩𝘰𝘶𝘭𝘥 𝘧𝘦𝘦𝘭 𝘦𝘮𝘱𝘰𝘸𝘦𝘳𝘦𝘥 𝘵𝘰 𝘦𝘯𝘨𝘢𝘨𝘦 𝘮𝘰𝘳𝘦 𝘸𝘪𝘵𝘩 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘪𝘯𝘥𝘶𝘴𝘵𝘳𝘺. 𝘛𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘵𝘳𝘢𝘯𝘴𝘱𝘰𝘳𝘵𝘢𝘵𝘪𝘰𝘯 𝘯𝘦𝘦𝘥𝘴 𝘮𝘰𝘳𝘦 𝘸𝘰𝘮𝘦𝘯 𝘣𝘦𝘩𝘪𝘯𝘥 𝘵𝘩𝘦 𝘸𝘩𝘦𝘦𝘭, 𝘣𝘰𝘵𝘩 𝘰𝘯 𝘵𝘩𝘦 𝘳𝘰𝘢𝘥 𝘢𝘯𝘥 𝘪𝘯 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯."

Akrivi Vivian Kiousi (Frontier Innovations)

" 𝘉𝘦𝘪𝘯𝘨 𝘢 𝘥𝘳𝘪𝘷𝘦𝘳 𝘪𝘯 𝘵𝘩𝘦 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘴𝘦𝘤𝘵𝘰𝘳 𝘪𝘴 𝘢𝘣𝘰𝘶𝘵 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘪𝘯𝘨 𝘱𝘦𝘰𝘱𝘭𝘦 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘳𝘦𝘸𝘢𝘳𝘥 𝘰𝘧 𝘩𝘦𝘭𝘱𝘪𝘯𝘨 𝘰𝘵𝘩𝘦𝘳𝘴 𝘮𝘢𝘪𝘯𝘵𝘢𝘪𝘯 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘤𝘦 𝘢𝘯𝘥 𝘩𝘢𝘷𝘪𝘯𝘨 𝘦𝘲𝘶𝘢𝘭 𝘰𝘱𝘱𝘰𝘳𝘵𝘶𝘯𝘪𝘵𝘪𝘦𝘴. 𝘔𝘺 𝘸𝘰𝘳𝘬𝘥𝘢𝘺 𝘮𝘢𝘬𝘦𝘴 𝘢 𝘵𝘢𝘯𝘨𝘪𝘣𝘭𝘦 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘤𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘮𝘮𝘶𝘯𝘪𝘵𝘺 𝘴𝘪𝘯𝘤𝘦 𝘥𝘦𝘱𝘦𝘯𝘥𝘪𝘯𝘨 𝘰𝘯 𝘵𝘩𝘦 𝘱𝘳𝘰𝘫𝘦𝘤𝘵 𝘮𝘺 𝘧𝘰𝘤𝘶𝘴 𝘪𝘴 𝘰𝘯 𝘴𝘢𝘧𝘦𝘵𝘺, 𝘰𝘯 𝘥𝘦𝘮𝘢𝘯𝘥 𝘰𝘳 𝘲𝘶𝘪𝘵𝘦 𝘢𝘯𝘥 𝘦𝘷𝘦𝘯 𝘨𝘳𝘦𝘦𝘯 𝘳𝘪𝘥𝘦𝘴 𝘰𝘳 𝘩𝘦𝘭𝘱𝘪𝘯𝘨 𝘱𝘢𝘴𝘴𝘦𝘯𝘨𝘦𝘳𝘴 𝘢𝘯𝘥 𝘨𝘰𝘰𝘥𝘴 𝘳𝘦𝘢𝘤𝘩 𝘵𝘩𝘦𝘪𝘳 𝘥𝘦𝘴𝘵𝘪𝘯𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘱𝘢𝘳𝘵𝘪𝘤𝘶𝘭𝘢𝘳𝘭𝘺 𝘩𝘦𝘭𝘱𝘪𝘯𝘨 𝘢 𝘱𝘢𝘴𝘴𝘦𝘯𝘨𝘦𝘳 𝘸𝘪𝘵𝘩 𝘴𝘱𝘦𝘤𝘪𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘳𝘦𝘨𝘢𝘪𝘯 𝘵𝘩𝘦𝘪𝘳 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘤𝘦.
𝘔𝘺 𝘪𝘯𝘷𝘰𝘭𝘷𝘦𝘮𝘦𝘯𝘵 𝘪𝘯 𝘍𝘙𝘖𝘋𝘋𝘖 𝘸𝘢𝘴 𝘧𝘳𝘰𝘮 𝘵𝘩𝘦 𝘷𝘦𝘳𝘺 𝘴𝘵𝘢𝘳𝘵, 𝘵𝘩𝘦 𝘱𝘳𝘰𝘱𝘰𝘴𝘢𝘭 𝘪𝘯𝘪𝘵𝘪𝘢𝘵𝘪𝘰𝘯 𝘴𝘰 𝘐 𝘢𝘮 𝘦𝘹𝘵𝘳𝘦𝘮𝘦𝘭𝘺 𝘩𝘢𝘱𝘱𝘺 𝘵𝘰 𝘩𝘢𝘷𝘦 𝘤𝘰𝘯𝘵𝘳𝘪𝘣𝘶𝘵𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘤𝘰𝘯𝘤𝘦𝘱𝘵 𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘸𝘩𝘦𝘳𝘦 𝘯𝘦𝘤𝘦𝘴𝘴𝘢𝘳𝘺 𝘪𝘯 𝘵𝘩𝘦 𝘢𝘤𝘵𝘪𝘷𝘪𝘵𝘪𝘦𝘴 𝘦𝘹𝘦𝘤𝘶𝘵𝘪𝘰𝘯."

Yana LAZAROVA (CSGROUP)

" 𝘈𝘴 𝘗𝘳𝘰𝘫𝘦𝘤𝘵 𝘔𝘢𝘯𝘢𝘨𝘦𝘳 𝘢𝘵 𝘊𝘚 𝘎𝘳𝘰𝘶𝘱, 𝘐’𝘮 𝘱𝘳𝘰𝘶𝘥 𝘵𝘰 𝘣𝘦 𝘪𝘯𝘷𝘰𝘭𝘷𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 hashtag#𝘍𝘙𝘖𝘋𝘋𝘖 𝘗𝘳𝘰𝘫𝘦𝘤𝘵, 𝘸𝘩𝘦𝘳𝘦 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘣𝘦𝘤𝘰𝘮𝘦𝘴 𝘢 𝘳𝘦𝘢𝘭𝘪𝘵𝘺 𝘦𝘷𝘦𝘳𝘺 𝘥𝘢𝘺.
𝘉𝘦𝘪𝘯𝘨 𝘢𝘵 𝘵𝘩𝘦 𝘧𝘰𝘳𝘦𝘧𝘳𝘰𝘯𝘵 𝘰𝘧 𝘵𝘩𝘪𝘴 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘪𝘯𝘤𝘳𝘦𝘥𝘪𝘣𝘭𝘺 𝘪𝘯𝘴𝘱𝘪𝘳𝘪𝘯𝘨 — 𝘯𝘰𝘵 𝘰𝘯𝘭𝘺 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘐 𝘤𝘢𝘯 𝘰𝘣𝘴𝘦𝘳𝘷𝘦 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘩𝘢𝘱𝘱𝘦𝘯𝘪𝘯𝘨 𝘪𝘯 𝘳𝘦𝘢𝘭 𝘵𝘪𝘮𝘦, 𝘣𝘶𝘵 𝘣𝘦𝘤𝘢𝘶𝘴𝘦 𝘐 𝘩𝘢𝘷𝘦 𝘵𝘩𝘦 𝘱𝘳𝘪𝘷𝘪𝘭𝘦𝘨𝘦 𝘵𝘰 𝘤𝘰𝘯𝘵𝘳𝘪𝘣𝘶𝘵𝘦 𝘵𝘰 𝘪𝘵. 𝘞𝘩𝘢𝘵 𝘮𝘢𝘬𝘦𝘴 𝘵𝘩𝘪𝘴 𝘫𝘰𝘶𝘳𝘯𝘦𝘺 𝘦𝘷𝘦𝘯 𝘮𝘰𝘳𝘦 𝘮𝘦𝘢𝘯𝘪𝘯𝘨𝘧𝘶𝘭 𝘪𝘴 𝘸𝘰𝘳𝘬𝘪𝘯𝘨 𝘢𝘭𝘰𝘯𝘨𝘴𝘪𝘥𝘦 𝘣𝘳𝘪𝘭𝘭𝘪𝘢𝘯𝘵, 𝘵𝘢𝘭𝘦𝘯𝘵𝘦𝘥 𝘸𝘰𝘮𝘦𝘯 𝘸𝘩𝘰 𝘢𝘳𝘦 𝘩𝘦𝘭𝘱𝘪𝘯𝘨 𝘥𝘦𝘴𝘪𝘨𝘯 𝘵𝘩𝘦 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘰𝘧 𝘵𝘰𝘮𝘰𝘳𝘳𝘰𝘸.
𝘛𝘰𝘨𝘦𝘵𝘩𝘦𝘳, 𝘸𝘦 𝘢𝘳𝘦 𝘥𝘦𝘷𝘦𝘭𝘰𝘱𝘪𝘯𝘨 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯𝘴 𝘵𝘩𝘢𝘵 𝘦𝘯𝘩𝘢𝘯𝘤𝘦 𝘥𝘳𝘪𝘷𝘦𝘳 𝘴𝘢𝘧𝘦𝘵𝘺 𝘢𝘯𝘥 𝘮𝘢𝘬𝘦 𝘰𝘶𝘳 𝘳𝘰𝘢𝘥𝘴 𝘴𝘮𝘢𝘳𝘵𝘦𝘳 𝘢𝘯𝘥 𝘴𝘢𝘧𝘦𝘳.
𝘛𝘰 𝘮𝘦, 𝘪𝘯𝘤𝘳𝘦𝘢𝘴𝘪𝘯𝘨 𝘧𝘦𝘮𝘢𝘭𝘦 𝘱𝘢𝘳𝘵𝘪𝘤𝘪𝘱𝘢𝘵𝘪𝘰𝘯 𝘪𝘯 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘪𝘴𝘯’𝘵 𝘫𝘶𝘴𝘵 𝘢𝘣𝘰𝘶𝘵 𝘳𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘢𝘵𝘪𝘰𝘯 — 𝘪𝘵’𝘴 𝘢𝘣𝘰𝘶𝘵 𝘣𝘳𝘪𝘯𝘨𝘪𝘯𝘨 𝘥𝘪𝘷𝘦𝘳𝘴𝘦 𝘱𝘦𝘳𝘴𝘱𝘦𝘤𝘵𝘪𝘷𝘦𝘴 𝘵𝘩𝘢𝘵 𝘥𝘳𝘪𝘷𝘦 𝘣𝘦𝘵𝘵𝘦𝘳 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯. 𝘈𝘯𝘥 𝘐’𝘮 𝘱𝘳𝘰𝘶𝘥 𝘵𝘰 𝘣𝘦 𝘱𝘢𝘳𝘵 𝘰𝘧 𝘵𝘩𝘢𝘵 𝘮𝘰𝘷𝘦𝘮𝘦𝘯𝘵."

Marina Natsia (CONVERGENCE)

" 𝘋𝘳𝘪𝘷𝘪𝘯𝘨 𝘩𝘢𝘴 𝘢𝘭𝘸𝘢𝘺𝘴 𝘴𝘺𝘮𝘣𝘰𝘭𝘪𝘴𝘦𝘥 𝘧𝘳𝘦𝘦𝘥𝘰𝘮, 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘤𝘦, 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘰 𝘯𝘢𝘷𝘪𝘨𝘢𝘵𝘦 𝘵𝘩𝘦 𝘸𝘰𝘳𝘭𝘥 𝘰𝘯 𝘮𝘺 𝘰𝘸𝘯 𝘵𝘦𝘳𝘮𝘴. 𝘈𝘴 𝘢 𝘨𝘦𝘯𝘥𝘦𝘳 𝘴𝘱𝘦𝘤𝘪𝘢𝘭𝘪𝘴𝘵 𝘢𝘯𝘥 𝘴𝘰𝘤𝘪𝘢𝘭 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩𝘦𝘳, 𝘐 𝘣𝘳𝘪𝘯𝘨 𝘢𝘯 𝘪𝘯𝘵𝘦𝘳𝘴𝘦𝘤𝘵𝘪𝘰𝘯𝘢𝘭, 𝘩𝘶𝘮𝘢𝘯-𝘤𝘦𝘯𝘵𝘳𝘦𝘥 𝘱𝘦𝘳𝘴𝘱𝘦𝘤𝘵𝘪𝘷𝘦 𝘵𝘰 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴, 𝘦𝘯𝘴𝘶𝘳𝘪𝘯𝘨 𝘥𝘪𝘷𝘦𝘳𝘴𝘦 𝘷𝘰𝘪𝘤𝘦𝘴 𝘢𝘯𝘥 𝘴𝘰𝘤𝘪𝘦𝘵𝘢𝘭 𝘯𝘦𝘦𝘥𝘴 𝘢𝘳𝘦 𝘢𝘵 𝘵𝘩𝘦 𝘩𝘦𝘢𝘳𝘵 𝘰𝘧 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯. 𝘛𝘩𝘳𝘰𝘶𝘨𝘩 𝘍𝘙𝘖𝘋𝘋𝘖, 𝘐 𝘩𝘦𝘭𝘱 𝘦𝘮𝘣𝘦𝘥 𝘦𝘵𝘩𝘪𝘤𝘢𝘭 𝘧𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬𝘴, 𝘪𝘯𝘤𝘭𝘶𝘴𝘪𝘷𝘪𝘵𝘺, 𝘢𝘯𝘥 𝘣𝘪𝘢𝘴-𝘧𝘳𝘦𝘦 𝘢𝘱𝘱𝘳𝘰𝘢𝘤𝘩𝘦𝘴 𝘪𝘯𝘵𝘰 𝘴𝘮𝘢𝘳𝘵 𝘢𝘯𝘥 𝘢𝘶𝘵𝘰𝘮𝘢𝘵𝘦𝘥 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯𝘴, 𝘮𝘢𝘬𝘪𝘯𝘨 𝘵𝘩𝘦𝘮 𝘴𝘢𝘧𝘦𝘳, 𝘦𝘲𝘶𝘪𝘵𝘢𝘣𝘭𝘦, 𝘢𝘯𝘥 𝘴𝘰𝘤𝘪𝘢𝘭𝘭𝘺 𝘳𝘦𝘴𝘱𝘰𝘯𝘴𝘪𝘣𝘭𝘦. 𝘐 𝘢𝘮 𝘱𝘳𝘰𝘶𝘥 𝘵𝘰 𝘸𝘰𝘳𝘬 𝘢𝘭𝘰𝘯𝘨𝘴𝘪𝘥𝘦 𝘪𝘯𝘴𝘱𝘪𝘳𝘪𝘯𝘨 𝘸𝘰𝘮𝘦𝘯 𝘴𝘩𝘢𝘱𝘪𝘯𝘨 𝘢 𝘧𝘶𝘵𝘶𝘳𝘦 𝘸𝘩𝘦𝘳𝘦 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘴𝘦𝘳𝘷𝘦𝘴 𝘦𝘷𝘦𝘳𝘺𝘰𝘯𝘦 𝘦𝘲𝘶𝘢𝘭𝘭𝘺."

Froso Spanopoulou (ITML)

"𝘎𝘳𝘰𝘸𝘪𝘯𝘨 𝘶𝘱 𝘪𝘯 𝘵𝘩𝘦 𝘴𝘶𝘣𝘶𝘳𝘣𝘴 𝘵𝘢𝘶𝘨𝘩𝘵 𝘮𝘦 𝘦𝘢𝘳𝘭𝘺 𝘩𝘰𝘸 𝘪𝘮𝘱𝘰𝘳𝘵𝘢𝘯𝘵 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺 𝘪𝘴 𝘧𝘰𝘳 𝘪𝘯𝘥𝘦𝘱𝘦𝘯𝘥𝘦𝘯𝘤𝘦 𝘢𝘯𝘥 𝘦𝘷𝘦𝘳𝘺𝘥𝘢𝘺 𝘭𝘪𝘧𝘦, 𝘢𝘯𝘥 𝘥𝘳𝘪𝘷𝘪𝘯𝘨 𝘩𝘢𝘴 𝘢𝘭𝘸𝘢𝘺𝘴 𝘳𝘦𝘱𝘳𝘦𝘴𝘦𝘯𝘵𝘦𝘥 𝘵𝘩𝘢𝘵 𝘧𝘳𝘦𝘦𝘥𝘰𝘮 𝘧𝘰𝘳 𝘮𝘦. 𝘛𝘰𝘥𝘢𝘺 𝘐 𝘸𝘰𝘳𝘬 𝘢𝘴 𝘢𝘯 𝘦𝘹𝘱𝘭𝘰𝘪𝘵𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘤𝘰𝘯𝘴𝘶𝘭𝘵𝘢𝘯𝘵 𝘰𝘯 𝘵𝘩𝘦 𝘍𝘙𝘖𝘋𝘋𝘖 𝘱𝘳𝘰𝘫𝘦𝘤𝘵, 𝘩𝘦𝘭𝘱𝘪𝘯𝘨 𝘦𝘯𝘴𝘶𝘳𝘦 𝘵𝘩𝘢𝘵 𝘳𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘢𝘯𝘥 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘤𝘢𝘭 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘵𝘶𝘳𝘯 𝘪𝘯𝘵𝘰 𝘳𝘦𝘢𝘭 𝘴𝘰𝘭𝘶𝘵𝘪𝘰𝘯𝘴 𝘧𝘰𝘳 𝘴𝘮𝘢𝘳𝘵𝘦𝘳 𝘢𝘯𝘥 𝘴𝘢𝘧𝘦𝘳 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺. 𝘉𝘦𝘪𝘯𝘨 𝘱𝘢𝘳𝘵 𝘰𝘧 𝘵𝘩𝘪𝘴 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯 𝘪𝘴 𝘣𝘰𝘵𝘩 𝘦𝘹𝘤𝘪𝘵𝘪𝘯𝘨 𝘢𝘯𝘥 𝘮𝘦𝘢𝘯𝘪𝘯𝘨𝘧𝘶𝘭. 𝘐 𝘸𝘰𝘶𝘭𝘥 𝘭𝘰𝘷𝘦 𝘵𝘰 𝘴𝘦𝘦 𝘮𝘰𝘳𝘦 𝘸𝘰𝘮𝘦𝘯 𝘴𝘵𝘦𝘱 𝘪𝘯𝘵𝘰 𝘪𝘯𝘯𝘰𝘷𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘢𝘯𝘥 𝘱𝘭𝘢𝘺 𝘢𝘯 𝘢𝘤𝘵𝘪𝘷𝘦 𝘳𝘰𝘭𝘦 𝘪𝘯 𝘴𝘩𝘢𝘱𝘪𝘯𝘨 𝘵𝘩𝘦 𝘧𝘶𝘵𝘶𝘳𝘦 𝘰𝘧 𝘮𝘰𝘣𝘪𝘭𝘪𝘵𝘺."

The “Women Behind the Wheel of Innovation” campaign is more than a celebration. It is a call to action. A call to support, encourage and empower more women to engage with mobility, technology and research.

At FRODDO, we remain committed to promoting diversity, fostering inclusion and amplifying the voices of women driving change across the CCAM ecosystem. Together, we can build a future where innovation is truly driven by everyone.

Author: Eleni- Vasiliki Provopoulou (Netcompany)

Category: Blogs

Strengthening FRODDO’s Exploitation Strategy with Horizon Results Booster

Admin — Fri, 30 Jan 2026 10:29:46 +0000

Strengthening FRODDO’s Exploitation Strategy with Horizon Results Booster Admin Fri, 01/30/2026 - 12:29

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

Before initiating the Horizon Results Booster activities, several preparatory steps were completed:

Definition of Key Exploitable Results (KERs)

Dedicated exploitation workshops, led by ITML, were held to identify all knowledge generated in FRODDO. During these sessions, partners discussed potential technical collaborations after the project and protecting their knowledge.

As a result, 8 KERs were identified, both individual and joint, were identified. They form the foundation for developing exploitation plans, and three of them will be primarily focused on the Horizon Results Booster workshops.

Initial Meetings with Booster Experts: Initial meetings have already taken place between the FRODDO exploitation and coordination team with the assigned experts, establishing a shared understanding of:

i. The project’s objectives

ii. The prioritisation of three KERs

iii. The roadmap towards materialization

What Comes Next

The remainder of the exploitation activities will focus on developing dedicated exploitation plans for each KER. The orchestrated booster services will support the planning and refinement of the exploitation pathways for the first three KERs during the first half of 2026. After that, the activities will be extended to the remaining KERs.

Looking Ahead:

The activation of the Horizon Results Booster services underscores partners’ intention to valorise the knowledge generated within FRODDO and ensure the project outcomes will support a change that will endure over time.

Authors: Dimitris Eleftheriou, Froso Spanopoulou (ITML)

Category: Blogs

Expanding the limits of automated mobility: How FRODDO advances CCAM beyond today’s ODD constraints

Admin — Fri, 05 Dec 2025 13:17:25 +0000

Expanding the limits of automated mobility: How FRODDO advances CCAM beyond today’s ODD constraints Admin Fri, 12/05/2025 - 15:17

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.

Illustration 1 below shows how CCAM may find itself within its ODD, and thus operate without human intervention, when several conditions are met:

Environmental conditions are favorable:
- Good lighting and weather conditions.
- Simple road environment (signage, geometry).
- Reliable connectivity with low latency.
Traffic environments are simple:
- No or very few Vulnerable Road Users (VRUs).
- Simple intersections with favorable traffic conditions.
There are little or no gaps in sensor coverage.

The goal is for CCAM to operate within its ODD when the above are not met, but rather find itself in a condition where:

CCAM systems operate under as broad environmental conditions as possible.
CCAM systems can reliably handle complex traffic environments with large numbers of other traffic agents.
Cooperative Perception allows “filling-in” the gaps in the sensing of individual vehicles by exchanging information between vehicles (V2V), between vehicles and infrastructure (V2I), and between all stakeholders of the system (V2X).
Cooperative Maneuvering enables safe and efficient operations.

Illustration 1. Environments within and out of the ODD of a CCAM - for Illustrative Purposes Only.

Illustration 2 below provides a visual representation of the traffic agent behavioral model problem:

CCAM needs to take into account the behavior of conventional human-driven vehicles when planning the actions of different vehicles.
The behavior of VRUs, such as pedestrians and bicyclists, differs significantly from that of motorized vehicles and thus requires different models that may need to be tailored to local conditions and norms.
Behavioral models need to be computationally efficient, so that they can be run in real time and inform the maneuver-planning algorithms with time to spare.

Artificial Intelligence is an obvious route to address these issues, and Frontier Innovations is developing such behavioral models.

Illustration 2. CCAM Needs to Predict the Behavior of Conventional Vehicles, and VRUs, as well as Coordinate the Actions of Participating Vehicles - for Illustrative Purposes Only.

Frontier Innovations and the other FRODDO Project partners push the boundaries of CCAM technology by applying cutting edge techniques to expand the ODD and develop behavioral algorithms that can bring CCAM closer to mainstream implementation.

Author: Konstantinos N. Christidis (FRONTIER)

Category: Blogs

Building the future of Mobility with Digital Twin Technology

Admin — Tue, 01 Jul 2025 14:54:45 +0000

Building the future of Mobility with Digital Twin Technology Admin Tue, 07/01/2025 - 17:54

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

In the context of Cooperative, Connected, and Automated Mobility (CCAM), implementing Digital Twin technology is crucial in the domain roadmap. This technology has the potential to improve safety, urban mobility management, and stakeholder collaboration. By simulating various scenarios, a Digital Twin can predict potential hazards and evaluate the benefits of traffic management strategies. Simultaneously, the Digital Twin enables real-time monitoring and analysis of infrastructure and situational data, generating intelligent outcomes that can be shared among multiple stakeholders.

The FRODDO Digital Twin

In FRODDO, the concept of Digital Twin technology is tailored to the needs of Connected, Cooperative, and Automated Mobility. Within the project, the DT is much more than a static digital replica but a dynamic, federated, and AI-assisted platform that integrates real-time data, predictive analytics, and simulation capabilities to support the safe and efficient operation of automated vehicles across diverse environments. This framework has four major objectives:

Aggregate diverse data from vehicles, infrastructure, and environmental sources.
Offer a real-time, multidimensional view of the transport ecosystem.
Simulate, predict, and optimize traffic management strategies by using AI.
Support decision-making through interactive dashboards and AI-based systems.

Built on the modular Crimson Digital Twin platform, the FRODDO Digital Twin framework is designed to be scalable and interoperable, adapting to the specific needs of various pilot projects. This ensures effective integration with CCAM services and other FRODDO modules, whether for road networks or indoor environments, offline simulations, or real-time monitoring.

What’s next?

The FRODDO Digital Twin platform will evolve throughout the project with the clear objective to fulfil the needs of the four project pilots foreseen. More specifically the platform will enable the visualisation of results in a 3D digital twin environment of each pilot

Pilot 1 |LS|Ljubljana, Slovenia|RS| - Trust and comfort levels about Level > 3 of driving automation on various road network segment enabling quick recognition of passenger sentiment.
Pilot 2 |LS|Athens, Greece|RS| – Global and per road segment evaluation of traffic management strategies such as dynamic lane reversal and platooning in various scenarios (typical weekday peaks, planned/unplanned disruptions, special events).
Pilot 3 |LS|Modena, Italy|RS|: Traffic forecasts and real-time infrastructure monitoring with early warnings (environmental, operational efficiency and safety) in an urban environment.
Pilot 4 |LS|Bursa, Turkey|RS|: Autonomous tow truck fleet monitoring and management.

More information about the Crimson Digital Twin in the project here.

Category: Blogs

FRODDO Project Presented at the Artificial Intelligence for Road Safety and Mobility Workshop in Athens

Admin — Tue, 24 Jun 2025 08:52:55 +0000

FRODDO Project Presented at the Artificial Intelligence for Road Safety and Mobility Workshop in Athens Admin Tue, 06/24/2025 - 11:52

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.

During his presentation, Dr. Fafoutellis introduced FRODDO’s core objectives and its pioneering approach to managing mixed traffic conditions where autonomous vehicles (AVs) and human-driven vehicles coexist. In particular, he highlighted how FRODDO is developing AI-powered traffic management strategies, such as vehicle platooning and dynamic lane reversals, which are being tested in simulated environments to assess their large-scale impact on traffic flow, emissions, and overall network efficiency.

The Athens pilot, using NTUA’s advanced microscopic simulation model of the city center, was presented as a key component of FRODDO’s research activities. Through detailed scenario-based analysis, the project aims to evaluate how adaptive traffic management can ensure safety, efficiency, and sustainability during the complex transition period towards full vehicle autonomy.

FRODDO’s participation in the workshop not only showcased the project’s ongoing progress but also strengthened its connections within the broader scientific community, fostering opportunities for future collaborations and knowledge exchange.

Category: Blogs

Navigating the Transition: AI-Driven Traffic Management for Mixed AV and Human-Driven Vehicle Ecosystems

Admin — Thu, 05 Dec 2024 15:43:55 +0000

Navigating the Transition: AI-Driven Traffic Management for Mixed AV and Human-Driven Vehicle Ecosystems Admin Thu, 12/05/2024 - 17:43

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.

In such scenarios, adaptive traffic control mechanisms will help manage diverse vehicle behaviors, ensuring that both AVs and human-driven vehicles can navigate safely and seamlessly through unpredictable road conditions. In FRODDO AI-assisted traffic management strategies will be developed and tested in simulation environments to estimate large-scale impacts on the network.

More specifically, in the Athens pilot several scenarios will be tested using the up to date microscopic, simulated network of the Athens’ city center owned and maintained by the NTUA Laboratory of Traffic Engineering. Within the simulation traffic management strategies will be evaluated under various mixed traffic compositions, enabling the estimation of large-scale impacts on traffic, emissions and network efficiency. By modeling scenarios with diverse mixes of autonomous vehicles and traditional vehicles, simulation allows for safe, cost-effective experimentation across a wide range of traffic densities and behavioral patterns.

Category: Blogs

FRODDO will develop new approaches improving security V2V communications

Admin — Wed, 09 Oct 2024 09:00:00 +0000

FRODDO will develop new approaches improving security V2V communications Admin Wed, 10/09/2024 - 12:00

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.

All main standards for V2V communications (WAVE/DSRC, ETSI-ITS, C-V2X) require vehicles to transmit the current position, speed, acceleration, and the possible occurrence of emergency maneuvers (such as sudden braking or loss of grip). This information can be actively used by ADAS systems to slow down when a vehicle in front of us initiates emergency braking, even if this vehicle is out of range of our sensors or masked by other vehicles or obstacles that prevent direct perception.

This sounds great, but it also exposes ADAS systems to possible cyberattacks where malicious actors send false messages. What would happen if an attacker on the side of a highway used Software Defined Radio to send fake messages about non-existent vehicles pretending to be in front of us and initiating emergency braking? Would it be enough to block traffic on a major road artery? Or, could an attacker convince vehicles around him to “lead the way” simply by sending modified messages claiming to be an emergency vehicle proceeding with sirens blaring?

Some of these attack scenarios are mitigated by security countermeasures already included in the standards, which include the possibility of digitally signing messages, certifying their authenticity. However, an attacker could abuse a TCU (telecommunication unit) equipped with valid digital certificates to send V2V messages with incorrect information to nearby vehicles. For this reason it is important to envisage the use of systems for the analysis of V2V messages capable of identifying anomalies and potentially incorrect behavior.

Traditional detection approaches, such as the one proposed by the Framework For Misbehavior Detection (F2MD)1, rely on the analysis of received V2V messages. However, these systems can be deceived by sophisticated attackers, who create "plausible" message sequences, explicitly designed not to activate the mechanisms for detecting anomalies and impossible situations2. Such attacks can only be accurately detected using innovative approaches, which fuse and compare the data received from V2V communications, the data collected by on-vehicle sensors, and the data collected by sensors at the infrastructure level. The FRODDO project will take all these aspects into account, resulting in the design of safer and more secure V2V communications.

Category: Blogs