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iDriving

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iDriving – Intelligent & Digital Roadway Infrastructure for Vehicles Integrated...

iDriving – Intelligent & Digital Roadway Infrastructure for Vehicles Integrated with Next-Gen Technologies 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 ro... see more

30/06/2027

CENTRE FOR RESEARC...

5M€

Project Budget: 5M€

Project leader

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAP... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2024-07-01

HORIZON-CL5-2023-D6-01-02: Generation of scenarios for develop... Expected Outcome:Project results are expected to contribute to all of the following expected outcome...

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Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

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CENTRE FOR RESEARCH AND TECH...

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Project duration: 35 months Date Start: 2024-07-01
End date: 2027-06-30

Project leader

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAP... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 5M€

participation deadline Sin fecha límite de participación.

Project description 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.

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