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Civil-Comp Conferences
ISSN 2753-3239
CCC: 7
PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE
Edited by: J. Pombo
Paper 26.1

A Simulation Environment for Moving Block Signalling Systems

M. Barbaro, I. La Paglia, L. Bernardini, G. Bucca, R. Corradi, A. Collina and M. Bocciolone

Department of Mechanical Engineering, Politecnico di Milano, Italy

Full Bibliographic Reference for this paper
M. Barbaro, I. La Paglia, L. Bernardini, G. Bucca, R. Corradi, A. Collina, M. Bocciolone, "A Simulation Environment for Moving Block Signalling Systems", in J. Pombo, (Editor), "Proceedings of the Sixth International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 7, Paper 26.1, 2024, doi:10.4203/ccc.7.26.1
Keywords: European train control system, European rail traffic management system, moving block signalling, simulation environment, longitudinal dynamics, driver behavioural model, radio block center model.

Abstract
In recent years, train-based signalling systems have drawn the infrastructure managers’ attention, in the attempt to improve the line capacity and to optimize traffic. The development of a Moving Block (MVB) signalling system may offer a solution to achieve these objectives. MVB signalling relies on the definition of an occupied region which moves together with the train, which is continuously updated based on the information exchanged between the vehicle and the Radio-Block-Centre (RBC). Thus, it may safely operate an increased level of traffic on railway networks. Despite its potential benefits, there is still no real implementation of this system, which would require on-site testing operations, considering several scenarios. In the attempt to enhance the overall procedure moving towards the target of “zero on-site testing”, in this work a simulation tool for MVB signalling is proposed. The simulator is developed in Matlab-Simulink environment and presents a modular and expandible architecture. It includes a behavioural model of the driver and allows for the injection of disturbances to the train motion, enabling to test unusual operational scenarios, without any risk.

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