The iDriving project aims to enhance road safety and traffic management on urban and secondary roads through an integrated, intelligent system. By leveraging advanced technologies such as AI, digital twins, and real-time monitoring, iDriving offers a comprehensive solution to improve infrastructure safety.

Key Components of the iDriving Solution:

1. Safety Criteria Catalogue (SCC): Establishes benchmarks for safety standards and key performance indicators, guiding all aspects of the iDriving system.

2. Advanced Sensor Integration: Deploys compact sensor packages on vehicles and road infrastructure to collect and process data on-site, facilitating efficient monitoring of road conditions and traffic behavior.

3. Real-Time Monitoring Services: Utilizes AI-driven analysis for visual inspection of the road network, vehicle behavior analysis, and weather condition assessment, enabling proactive road safety management.

4. Predictive Maintenance via Digital Twin: Implements a Digital Twin framework to simulate road conditions and maintenance needs, allowing for proactive, cost-effective interventions that enhance infrastructure resilience.

5. AI-Based Warning Mechanisms: Provides real-time alerts about hazardous conditions or accidents through enhanced interfaces, directly to vehicle users or via road infrastructure signals.

By integrating these components, iDriving delivers an interactive, accurate, and efficient solution to improve infrastructure safety, reduce accidents, and promote sustainable road usage.