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| Funder | European Commission |
|---|---|
| Recipient Organization | Ethniko Kentro Erevnas Kai Technologikis Anaptyxis |
| Country | Greece |
| Start Date | Jul 01, 2024 |
| End Date | Jun 30, 2027 |
| Duration | 1,094 days |
| Number of Grantees | 17 |
| Roles | Participant; Coordinator; Associated Partner |
| Data Source | European Commission |
| Grant ID | 101147004 |
iDriving aims to deliver a TRL 6 prototype based on seven key pillars, all designed to work synergistically to create an interactive, accurate and efficient solution to improve infrastructure safety of urban and secondary rural roads. (i) A Safety Criteria Catalogue (SCC) for all road users for secondary and urban roads.
This establishes a benchmark for safety standards and KPIs, forming the foundational blueprint that guides all aspects of the iDriving system. (ii) Common communication solutions, ensuring a seamless and real-time exchange of data across a diverse range of sensors from various vehicles and road infrastructures. (iii) Innovative sensor integration on compact packages.
These can be easily deployed and maintained on both vehicles and road infrastructure, particularly on secondary and urban roads, thus acting as core data collection or independent processing hubs for onsite analysis. (iv) Efficient and accurate monitoring services.
This includes visual inspection of the road network, vehicle behavior analysis, and the analysis of weather conditions, all crucial for proactive road safety management. (v) Intelligence to maintenance operations to reduce the costs and impact on other users through advanced tools like 3D visualization, defect detection at the local level, and optimal traffic management. (vi) AI-based warning mechanisms that can provide real-time alerts about hazardous conditions or accidents either on road infrastructure with signs or lightning or directly to vehicle users via enhanced interfaces.
The final pillar ensures the seamless integration of all these elements, bringing together sophisticated AI-driven analytics, machine learning, sensor fusion, and cutting-edge simulations into a (vii) Digital Twin of the road infrastructure.
This facilitates the anticipation, identification, and response to a wide range of road conditions and events in real-time.
Grad Karlovac; Alp.Lab Gmbh; Ethniko Kentro Erevnas Kai Technologikis Anaptyxis; Fundacion Tekniker; Polytechneio Kritis; Software Imagination & Vision Srl; Draxis Research Ventures Astiki Mi Kerdoskopiki Etairia; Mobilysis Sarl; Ingartek Consulting Sl; Austriatech - Gesellschaft Des Bundes Fur Technologiepolitische Massnahmen Gmbh; Dimos Thessalonikis; Universite Gustave Eiffel; Infra Plan Konzaltnig Jdoo Za Usluge; Acceligence Ltd; Netcompany-Intrasoft Sa; Pravo I Internet Foundation; Municipality of Alba Iulia
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