Print Email Facebook Twitter Roadmap development for the deployment of virtual coupling in railway signalling Title Roadmap development for the deployment of virtual coupling in railway signalling Author Aoun, J. (TU Delft Transport and Planning) Quaglietta, E. (TU Delft Transport and Planning) Goverde, R.M.P. (TU Delft Transport and Planning) Date 2023 Abstract Developments in the railway industry are continuously evolving and long-term transition strategies can enable an efficient implementation of signalling technologies that provide a significant increase in network capacity and operation efficiency. Virtual Coupling (VC) advances moving block signalling by further reducing train separation to less than an absolute braking distance using train-to-train communication and cooperative train control within a Virtually-Coupled Train Set (VCTS). This paper proposes a method to develop scenario-based roadmaps based on a SWOT and hybrid Delphi-AHP multi-criteria analysis. Step-changes are identified and initially assessed in a Swimlane based on priorities and time order collected from stakeholders through a survey and further developed in a workshop. Optimistic and pessimistic scenarios are assessed regarding various factors and timelines. Step-changes are initially defined in a Swimlane and then enriched with optimistic and pessimistic scenarios to ultimately derive scenario-based roadmaps. Durations for each of the step-changes are developed into scenario-based roadmaps that can be used as an efficient tool for stakeholders to identify and solve potential criticalities/risks to the deployment of VC as well as to setup investment and development plans. The approach is applied to deliver implementation roadmaps of VC for different market segments with particular focus on mainline railways. Subject PlanningRailway operationsRailway technologyRoadmappingVirtual Coupling To reference this document use: http://resolver.tudelft.nl/uuid:ee9e1460-1066-475b-b367-21ec4f4920c0 DOI https://doi.org/10.1016/j.techfore.2022.122263 ISSN 0040-1625 Source Technological Forecasting and Social Change, 189 Part of collection Institutional Repository Document type journal article Rights © 2023 J. Aoun, E. Quaglietta, R.M.P. Goverde Files PDF 1_s2.0_S0040162522007843_main.pdf 2.29 MB Close viewer /islandora/object/uuid:ee9e1460-1066-475b-b367-21ec4f4920c0/datastream/OBJ/view