<?xml version="1.0" encoding="utf-8"?>
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  <doc>
    <id>6694</id>
    <completedYear/>
    <publishedYear>2018</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>73</pageFirst>
    <pageLast>92</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>268</volume>
    <type>bookpart</type>
    <publisherName>Springer International Publishing</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Freight Train Routing</title>
    <abstract language="eng">This chapter is about strategic routing of freight trains in railway transportation networks with mixed traffic. A good utilization of a railway transportation network is important since in contrast to road and air traffic the routing through railway networks is more challenging and the extension of capacities is expensive and a long-term projects. Therefore, an optimized routing of freight trains have a great potential to exploit remaining capacity since the routing has fewer restrictions compared to passenger trains. In this chapter we describe the freight train routing problem in full detail and present a mixed-integer formulation. Wo focus on a strategic level that take into account the actual immutable passenger traffic. We conclude the chapter with a case study for the German railway network.</abstract>
    <parentTitle language="eng">Handbook of Optimization in the Railway Industry</parentTitle>
    <identifier type="isbn">978-3-319-72152-1</identifier>
    <identifier type="doi">10.1007/978-3-319-72153-8</identifier>
    <enrichment key="Series">International Series in Operations Research &amp; Management Science</enrichment>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Torsten Klug</author>
    <submitter>Thomas Schlechte</submitter>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="klug">Klug, Torsten</collection>
    <collection role="projects" number="KOSMOS">KOSMOS</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
</export-example>
