About iDriving
The iDriving project focuses on enhancing road safety through intelligent, data-driven solutions for urban and secondary roads across Europe. Leveraging advanced technologies like AI, digital twins, and real-time monitoring, iDriving aims to provide comprehensive safety and traffic management by detecting road hazards, optimizing infrastructure maintenance, and enabling efficient vehicle-to-infrastructure communication. The project’s objectives include creating a Safety Criteria Catalogue, improving traffic flow, reducing accidents, and promoting sustainable road usage. iDriving also emphasizes collaboration with municipalities and policy-makers, fostering solutions aligned with end-user needs and European safety standards.
The objectives of the iDriving project include the following key goals:
Safety Criteria Catalogue (SCC): Develop a Safety Criteria Catalogue for urban and secondary roads, setting benchmarks for safety standards and KPIs to guide hazard identification, mitigation, and user alerts.
Enhanced V2I Communication: Implement innovative Vehicle-to-Infrastructure (V2I) communication protocols to improve real-time data exchange between infrastructure elements and diverse road users.
Real-Time Monitoring and Hazard Detection: Utilize AI-powered edge computing to detect and anticipate road hazards, such as defects and traffic incidents, with minimal latency, enabling swift action to enhance road safety.
Digital Twin for Predictive Maintenance: Establish a Digital Twin system to simulate road conditions and maintenance needs, allowing for proactive, cost-effective interventions that improve infrastructure resilience.
User Training and System Validation: Conduct real-world trials and user training sessions to validate the iDriving system’s performance and ensure alignment with user needs and safety standards.
Open Science and Data Sharing: Promote Open Science by sharing data and publications through open-access platforms, enabling broad access to project results and fostering collaboration across the research community