Paper Info
Title
Compositional modeling of railway Virtual Coupling with Stochastic Activity Networks
Abstract
AbstractAbstractThe current travel demand in railways requires the adoption of novel approaches and technologies in order to increase network capacity. Virtual Coupling is considered one of the most innovative solutions to increase railway capacity by drastically reducing train headway. The aim of this paper is to provide an approach to investigate the potential of Virtual Coupling in railways by composing stochastic activity networks model templates. The paper starts describing the Virtual Coupling paradigm with a focus on standard European railway traffic controllers. Based on stochastic activity network model templates, we provide an approach to perform quantitative evaluation of capacity increase in reference Virtual Coupling scenarios. The approach can be used to estimate system capacity over a modelled track portion, accounting for the scheduled service as well as possible failures. Due to its modularity, the approach can be extended towards the inclusion of safety model components. The contribution of this paper is a preliminary result of the PERFORMINGRAIL (PERformance-based Formal modelling and Optimal tRaffic Management for movING-block RAILway signalling) project funded by the European Shift2Rail Joint Undertaking.
Year
DOI
Venue
2021
10.1007/s00165-021-00560-5
Formal Aspects of Computing
Keywords
DocType
Volume
Railway, Performance Modelling, Stochastic Activity Networks, Moving block, Virtual Coupling
Journal
33
Issue
ISSN
Citations 
6
0934-5043
1
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
Francesco Flammini116319.53
Stefano Marrone217425.49
Roberto Nardone310.35
valeria vittorini433933.14