CORDIS · iDriving

iDriving – Intelligent & Digital Roadway Infrastructure for Vehicles Integrated with Next-Gen Technologies

Код

iDriving

Програма

HORIZON

Процедура

Better infrastructure safety on urban and secondary rural roads throughout a combination of adaptable monitoring and maintenance solutions HORIZON-CL5-2023-D6-01-10

Статус

SIGNED

Период

01.07.2024 – 30.06.2027

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис

Участници

Описание

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.

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).