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

Validazione di algoritmi di analisi dati e di ottimizzazione nellâambito di un sistema intelligente di asset management per il segnalamento ferroviario
 
: Consilvio, A.; Sanetti, P.; Crovetto, C.; Papa, F.; Dambra, C.; Jimenez Redondo, N.; Kandler, U.

Ingegneria Ferroviaria 75 (2020), Nr.7-8, S.525-548
ISSN: 0020-0956
Englisch, Italienisch
Zeitschriftenaufsatz
Fraunhofer IVI ()

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-615008.html