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An approach for seamless rail freight: integration of virtual coupling and digital automatic coupling
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.ORCID iD: 0009-0005-5850-4513
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China.ORCID iD: 0000-0001-7563-150X
University of Ljubljana, Faculty of Maritime Studies and Transport, Pot pomorscakov 4, SI-6320 Portoroz, Slovenia.ORCID iD: 0000-0001-7718-7887
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.ORCID iD: 0000-0002-3171-9355
2026 (English)In: Computers & industrial engineering, ISSN 0360-8352, E-ISSN 1879-0550, Vol. 213, article id 111810Article in journal (Refereed) [Artistic work] Published
Abstract [en]

Efficient preparation and smooth operation of rail freight trains are essential for improving rail freight services and customer satisfaction. This study examines how automation and digitalisation − specifically Digital Automatic Coupling (DAC) and Virtual Coupling (VC) − can enable seamless rail freight transport within marshalling yards and along railway lines. For the first time, a combined simulation- and optimisation-based modelling approach is proposed to assess the impact of these technologies.A multi-agent simulation model of the Hallsberg marshalling yard was developed to analyse train handling and yard capacity. A 10-hour shunting operation was simulated under manual coupling and DAC technology, comparing standard train lengths and longer trains. The results indicate a substantial increase in processed trains when DAC was applied. Standard-length trains increased from 7 (manual) to 9 and 12 with DAC types 4 and 5, respectively, with similar gains observed for longer trains.Trains from the simulation’s departure yard were subsequently integrated into an optimisation model to assess their scheduling on the main railway line. dispatchers face challenges in optimising freight train routing, VC was proposed as a capacity-enhancing measure. The optimisation results showed that, with conventional timetables, only 70 freight trains could be scheduled while prioritising passenger services, whereas VC enables up to 128 freight trains − − an 82.86% capacity increase.Overall, these results demonstrate that integrating DAC and VC technologies can significantly enhance the efficiency and capacity of rail freight operations and systems, offering substantial benefits to stakeholders across the sector.

Place, publisher, year, edition, pages
Elsevier BV , 2026. Vol. 213, article id 111810
Keywords [en]
Rail freight, Multi-agent simulation, Optimisation, Emerging technologies, Capacity, Operation
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-377780DOI: 10.1016/j.cie.2026.111810ISI: 001669551800001Scopus ID: 2-s2.0-105027456541OAI: oai:DiVA.org:kth-377780DiVA, id: diva2:2043435
Funder
European CommissionSwedish Transport Administration
Note

QC 20260310

Available from: 2026-03-04 Created: 2026-03-04 Last updated: 2026-03-10Bibliographically approved

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Djordjevic, Boban

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