Technological advances in Train Control Systems (TCSs) hold substantial promise for revolutionizing railway transportation de- pendability in terms of safety, availability, and operational capacity. This transformation is primarily driven by cutting-edge distancing policies such as Moving Block (MB) signaling and Virtual Coupling (VC), which are powered by sophisticated train localization technologies including satellite-based positioning systems. At the same time, these technolog- ical advances raise notable concerns about the effects that uncertainty in critical TCS parameters, such as train position and speed, may have on dependability-related attributes. This is an extended abstract of the journal paper [6], where a comprehensive systematic literature review in- vestigating quantitative methodologies for assessing TCS dependability under uncertain conditions is presented. Through selection and analysis of 42 peer-reviewed publications spanning 2011-2023, we provide em- pirical insights and a taxonomic framework on research and practice in quantitative dependability assessment of TCSs.

Quantitative dependability evaluation of train control systems in presence of uncertainty: a systematic literature review

Di Giandomenico Felicita;Fantechi Alessandro;Gnesi Stefania;
2025

Abstract

Technological advances in Train Control Systems (TCSs) hold substantial promise for revolutionizing railway transportation de- pendability in terms of safety, availability, and operational capacity. This transformation is primarily driven by cutting-edge distancing policies such as Moving Block (MB) signaling and Virtual Coupling (VC), which are powered by sophisticated train localization technologies including satellite-based positioning systems. At the same time, these technolog- ical advances raise notable concerns about the effects that uncertainty in critical TCS parameters, such as train position and speed, may have on dependability-related attributes. This is an extended abstract of the journal paper [6], where a comprehensive systematic literature review in- vestigating quantitative methodologies for assessing TCS dependability under uncertain conditions is presented. Through selection and analysis of 42 peer-reviewed publications spanning 2011-2023, we provide em- pirical insights and a taxonomic framework on research and practice in quantitative dependability assessment of TCSs.
2025
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-3-032-10761-9
978-3-032-10762-6
Train control systems; Dependability; Quantitative evaluation; Uncertainty; Systematic literature review
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/563684
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