Validation of data analytics and optimization algorithms within an intelligent asset management system for rail signalling

This paper describes the implementation phase of the Intelligent Asset Management System (IAMS), developed within the Shift2Rail IN2SMART project, under t est and val i dat i on wi t hi n i t s f ol l ow-up proj ect, IN2SMART2. The innovative approach to Asset Management is based on techniques and models for data analysis and decision support, able to take into account the knowl-edge on asset status, the operational constraints of the rail sector and the main target for rail operators. The aim is to move towards an automated decision process and a reduc-tion of human effort in decision-making. The IAMS prototype development and validation is de-scribed. In addition, the in-field implementation to the signalling system of an Italian metro line is presented, describ-ing the designed additional functionalities of the system, as well as the considered Key Performance Indicators for its test and the benefits of the approach.