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- W2787781037 abstract "textabstractWe investigate the one-block train formation problem (TFP) in the railway freight transportationindustry given a car route for each shipment. The TFP considers both the block design andthe car-to-block assignment in the tactical level. Moving beyond current researches on servicenetwork design, the unitary rule and the intree rule are taken into account in this study basedon the Chinese railway background. We develop a linear binary programming formulation tominimize the sum of train cost and classication delay subject to limitations on the classicationcapacity and the number of sort tracks at each station. Furthermore, we propose a novel solutionmethodology that applies a tree-based decomposition algorithm. Here, we rst decompose thewhole network into a series of rooted trees for each destination separately. Then, we divide thetrees into suciently small subtrees, whose size is regulated by a node size parameter. Finally, weconstruct a restricted linear binary model for each subtree and solve these models sequentially tond their optimal solutions. Our computational results on a realistic network from the Chineserailway system with 83 stations, 158 links and 5700 randomly generated demands show that theproposed algorithm can derive high-quality solutions within 3 hours. These solutions are on average43.89% better than those obtained after solving the linear binary program for 1 day." @default.
- W2787781037 created "2018-02-23" @default.
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- W2787781037 date "2017-12-01" @default.
- W2787781037 modified "2023-09-23" @default.
- W2787781037 title "One-block train formation in large-scale railway networks: An exact model and a tree-based decomposition algorithm" @default.
- W2787781037 hasPublicationYear "2017" @default.
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