The increasing need for capacity has led the railway industry to explore next generation signalling concepts such as Virtual Coupling which takes moving-block operations further by separating trains by a relative braking distance, like cars on the road. By means of a Vehicle-to-Vehicle (V2V) communication architecture trains can move in a virtually coupled platoon which can be treated as a single convoy at junctions, to improve capacity. This concept however introduces the need for additional safety constraints, especially at diverging junctions, which could make actual capacity improvements insufficient to justify investments. Hence, there is a need to understand capacity performances of Virtual Coupling and potential gains over state-of-practice signalling systems. This paper addresses this need by developing an innovative train-following model that captures operational states and corresponding transitions of trains running under Virtual Coupling. A comparative capacity analysis has been conducted for a portion of the South West Main Line in the UK. Promising results have been obtained, showing that the biggest capacity gains returned by Virtual Coupling relate to operational scenarios normally found in practice with trains having service stops and using different routes.
Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Railway Operations Modelling and Analysis
Subtitle of host publicationRail Norrköping 2019
EditorsAnders Peterson, Martin Joborn, Markus Bohlin
Pages1382-1401
Number of pages20
Publication statusPublished - 2019
EventRail Norrköping 2019: The 8th International Conference on Railway Operations Modelling and Analysis - Linköping University, Norrköping, Sweden
Duration: 17 Jun 201920 Jun 2019
https://www.railnorrkoping2019.org/

Conference

ConferenceRail Norrköping 2019: The 8th International Conference on Railway Operations Modelling and Analysis
Abbreviated titleICROMA
CountrySweden
CityNorrköping
Period17/06/1920/06/19
Internet address

    Research areas

  • Virtual Coupling, train-following model, train separation, railway capacity

ID: 55352972