Technological innovations have led to the tunnel concept evolution from civil works to technological infrastructure, where technology overcomes the geometric-functional limits, increasing its operating capacity. Today, the tunnel system must have the ability to adapt to a scenario in which transportation is based on guided or self-driving cars, with internal combustion engines or electric motors, that safely run through Smart Roads and Smart Tunnels. This implies that the tunnel system must be part of "Intelligent Transport Systems" (ITS), a goal introduced by Directive 2010/40/EU [1]. This paper aims to illustrate the fundamental principles of SCADRA (Supervisory Control Acquisition and Dynamic Risk Analysis) system, developed and implemented thanks to EURAM (EUropean Risk Analysis Method) methodology, and how it can be empowered thanks to Artificial Intelligence (AI). SCADRA system is a supplementary prevention and safety measure for tunnels management, both during normal operation and in emergency conditions, capable of guaranteeing a real-time monitoring of tunnel risk level. Thanks to AI, the system can be enhanced in order to execute a predictive risk analysis, by assessing the tunnel risk level trend according to the data gathered and by adjusting the next prediction to the real-time risk data. Artificial Intelligence (AI) and the Generative AI (Gen AI) are concepts and areas of practical application that are quickly growing, in terms of interest, products and services across multiple sectors. The concept is also relevant to the road, transport and mobility sectors in areas such as infrastructure design, operations and management, but it could be crucial for the safety aspect.

#predictiveriskanalysis #AI #SCADRA #resilience