A departure delay estimation model for freight trains

• The main objective of this paper is to develop a macroscopic delay estimation model for freight trains departing from the marshalling yard. Freight trains are made up in large marshalling yards comprising three yards (arrival, classification, departure). On time operations in marshaling yards enhances reliability of rail freight services compared to other modes of freight transport. Currently, freight trains encounter most of their delays in marshalling yards even before entering the railway network. Therefore, it is needed to estimate the departure delay of freight trains from the marshaling yard. So far, studies have mainly focused on classification yard operations to estimate departure delay, whereas a proper delay estimation model should be able to consider processes of all three yards. We have developed our model considering main factors (yard congestion, railcar availability and locomotive availability) from all three yards. Hallsberg and Malmö Marshalling yards in Sweden were used as case study.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Transportteknik och logistik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Transport Systems and Logistics (hsv//eng)

Nyckelord

Delay Estimation; Marshalling Yards; Machine Learning; Swedish Railways; Shift2Rail

Transportvetenskap

Transport Science

Järnvägsgruppen - Effektiva tågsystem för godstrafik

Järnvägsgruppen - Effektiva tågsystem för godstrafik

Transportsystem

Transport Systems

Järnvägsgruppen - Kapacitet

Järnvägsgruppen - Kapacitet

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