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Measuring Performances of Multi-mode Marshalling Yards

  • Marco Antognoli
  • Riccardo Licciardello
  • Stefano RicciEmail author
  • Eros Tombesi
Chapter
Part of the Lecture Notes in Intelligent Transportation and Infrastructure book series (LNITI)

Abstract

The chapter deals with the wagonload freight transport. This kind of transport used to be the core business of railways during the last century, while in last decades it began to see its market share reduced in favour of other transport typologies (e.g. intermodal transport). Today wagonload transport seems no longer economically viable and the smaller and medium volumes used majorly road vehicles and sometimes combined transport. One of many possible ways to try reversing the trend is to convert the old and increasingly frequent abandoned marshalling yards in technological terminals able to receive different kinds of trains equipped with different technologies. These terminals are the Multi-Mode marshalling yards (MMM). This definition refers mainly to the mode of transport and the different railway operation. In this paper are presented the most relevant results obtained through the modelling the operation of a real marshalling yard sited in Hallsberg, Sweden. There are under introduction some innovative technologies and operative measures to quantify the improvements in operations that could contribute to a recovery of the wagonload transport, reducing the wagons mean transit time through the yards while increasing reliability.

Keywords

Freight Wagonload Marshalling yard Multimodality Simulation 

References

  1. 1.
    Nelldal B et al (2014) Progress beyond state of the art on rail freight systems. Capacity4Rail Project deliverable SP2 WP 2.1Google Scholar
  2. 2.
    Nelldal B et al (2014) Conceptual terminals’ design methodology for different markets. Capacity4Rail Project deliverable SP2 WP2.3Google Scholar
  3. 3.
    Ricci S et al (2015) Co-modal transhipments and terminals (intermediate). Capacity4Rail Project deliverable D23.1Google Scholar
  4. 4.
    Ricci S et al (2016) Co-modal transhipments and terminals (final). Capacity4Rail Project deliverable D23.2Google Scholar
  5. 5.
    Fröidh O, Kordnejad B, Kottenhoff K, Lindahl A, Nelldal B, Torche G (2011) Compendium in Railway traffic planning, 4th ed. KTH Royal Institute of Technology, School of Architecture and the Built Environment, Division of Traffic and Logistics, Railway Group, pp 282–285Google Scholar
  6. 6.
    Bohlin M, Gestrelius S, Khoshniyat F (2012) Evaluation of planning policies for marshalling track allocation using simulation. SICS Technical report T2012:10Google Scholar
  7. 7.
    Bohlin M, Flier H, Maue J, Mihalák M (2011) Hump yard track allocation with temporary car storage. In: Proceedings of the 4th international seminar on railway operations modelling and analysis, Rome, Italy, p 7Google Scholar
  8. 8.
    Bohlin M, Dahms F, Flier H, Gestrelius S (2012) Optimal freight train classification using column generation. In: Proceedings of the 12th workshop on algorithmic approaches for transportation modelling, optimization, and systems, Ljubljana, Slovenia, p 10Google Scholar
  9. 9.
    Ricci S, Capodilupo L, Tombesi E (2016) Discrete events simulation method to evaluate intermodal freight rail to road terminals performances. In: Proceedings of the 3rd international conference on railway technology: research, development and maintenance. Civil-Comp Press, Stirlingshire, UK, Paper 288Google Scholar
  10. 10.
    Antognoli M, Capodilupo L, Marinacci C, Ricci S, Rizzetto L, Tombesi E (2018) Present and future operation of rail freight terminals. Transport systems and delivery of cargo on East–West routes. SpringerGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Marco Antognoli
    • 1
  • Riccardo Licciardello
    • 1
  • Stefano Ricci
    • 1
    Email author
  • Eros Tombesi
    • 1
  1. 1.Faculty of Civil and Industrial Engineering, Department of Civil, Building and Environmental Engineering (DICEA)Sapienza, University of RomeRomeItaly

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