By layering AI, digital twins and real-time monitoring on top of the existing road network, iDriving turns infrastructure into a living, reactive safety system - interactive, accurate and efficient.
iDriving is built on seven interlocking pillars designed to work synergistically, delivering an interactive, accurate and efficient solution for safer urban and secondary rural roads.
An SCC for all road users on secondary and urban roads. Establishes a benchmark for safety standards and KPIs and forms the foundational blueprint guiding every aspect of the iDriving system.
V2I communication ensuring seamless and real-time exchange of data across a diverse range of sensors, vehicles and road infrastructures.
Compact sensor packages easily deployed and maintained on vehicles and road infrastructure - acting as core data collection or independent processing hubs for onsite analysis.
Visual inspection of the road network, vehicle behaviour analysis and analysis of weather conditions - all crucial for proactive road-safety management.
Reducing costs and impact on other users through advanced tools like 3D visualisation, defect detection at the local level and optimal traffic management.
Real-time alerts about hazardous conditions or accidents - via road infrastructure signs and lighting or directly to vehicle users via enhanced interfaces.
Sophisticated AI-driven analytics, machine learning, sensor fusion and cutting-edge simulations enabling real-time anticipation, identification and response to a wide range of road conditions and events.
Detect incidents and hazards in seconds, then route the right alert to the right user - before risk escalates.
Catch defects early and plan maintenance against simulated futures - fewer surprises, lower lifetime cost.
Vulnerable road users - pedestrians, cyclists, two-wheelers - are first-class citizens in iDriving's monitoring and alerts.
Public deliverables, peer-reviewed papers, and open repositories ensure the work outlives the project.