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  <doc>
    <id>1405</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2011-09-22</completedDate>
    <publishedDate>2011-09-22</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Hypergraph Model for Railway Vehicle Rotation Planning</title>
    <abstract language="eng">We propose a model for the integrated optimization of vehicle&#13;
  rotations and vehicle compositions in long distance railway passenger&#13;
  transport. The main contribution of the paper is a hypergraph model&#13;
  that is able to handle the challenging technical requirements as&#13;
  well as very general stipulations with respect to the ``regularity''&#13;
  of a schedule. The hypergraph model directly generalizes network&#13;
  flow models, replacing arcs with hyperarcs. Although NP-hard in&#13;
  general, the model is computationally well-behaved in practice.  High&#13;
  quality solutions can be produced in reasonable time using high&#13;
  performance Integer Programming techniques, in particular, column&#13;
  generation and rapid branching. We show that, in this way,&#13;
  large-scale real world instances of our cooperation partner DB&#13;
  Fernverkehr can be solved.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="serial">11-36</identifier>
    <identifier type="doi">/10.4230/OASIcs.ATMOS.2011.146</identifier>
    <identifier type="urn">urn:nbn:de:0030-drops-32746</identifier>
    <enrichment key="SourceTitle">Appeared in: 11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems. Alberto Caprara and Spyros Kontogiannis (eds.) 2011, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, ISBN 978-3-939897-33-0, pp. 146-155, OpenAccess Series in Informatics (OASIcs), 20</enrichment>
    <author>Ralf Borndörfer</author>
    <submitter>Thomas Schlechte</submitter>
    <author>Markus Reuther</author>
    <author>Thomas Schlechte</author>
    <author>Steffen Weider</author>
    <series>
      <title>ZIB-Report</title>
      <number>11-36</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rolling Stock Planning, Hypergraph Modeling, Integer Programming,    Column Generation, Rapid Branching</value>
    </subject>
    <collection role="msc" number="90-XX">OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING</collection>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="borndoerfer">Borndörfer, Ralf</collection>
    <collection role="persons" number="schlechte">Schlechte, Thomas</collection>
    <collection role="persons" number="weider">Weider, Steffen</collection>
    <collection role="projects" number="MATHEON-B22">MATHEON-B22</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="ROTOR">ROTOR</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="reuther">Reuther, Markus</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/1405/ZR-11-36.pdf</file>
  </doc>
  <doc>
    <id>1642</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2012-11-06</completedDate>
    <publishedDate>2012-11-06</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Integrated Optimization of Rolling Stock Rotations for Intercity Railways</title>
    <abstract language="eng">This paper provides a highly integrated solution approach for rolling stock &#13;
planning problems in the context of intercity passenger traffic. The main &#13;
contributions are a generic hypergraph based mixed integer programming &#13;
model and an integrated algorithm for the considered rolling stock rotation &#13;
planning problem. The new developed approach is able to handle a very large&#13;
set of industrial railway requirements, such as vehicle composition, &#13;
maintenance constraints, infrastructure capacity, and regularity aspects. &#13;
By the integration of this large bundle of technical railway aspects, we show &#13;
that our approach has the power to produce implementable rolling stock &#13;
rotations for our industrial cooperation partner DB Fernverkehr. &#13;
This is the first time that the rolling stock rotations at DB Fernverkehr &#13;
could be optimized by an automated system utilizing advanced mathematical &#13;
programming techniques.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-16424</identifier>
    <author>Markus Reuther</author>
    <submitter>Markus Reuther</submitter>
    <author>Ralf Borndörfer</author>
    <author>Thomas Schlechte</author>
    <author>Steffen Weider</author>
    <series>
      <title>ZIB-Report</title>
      <number>12-39</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Mixed Integer Programming</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Railway Optimization</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Rolling Stock Rostering</value>
    </subject>
    <collection role="ccs" number="G.">Mathematics of Computing</collection>
    <collection role="pacs" number="00.00.00">GENERAL</collection>
    <collection role="msc" number="90-XX">OPERATIONS RESEARCH, MATHEMATICAL PROGRAMMING</collection>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="schlechte">Schlechte, Thomas</collection>
    <collection role="persons" number="weider">Weider, Steffen</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="ROTOR">ROTOR</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="reuther">Reuther, Markus</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/1642/vrp.pdf</file>
  </doc>
  <doc>
    <id>4802</id>
    <completedYear/>
    <publishedYear>2012</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Vehicle Rotation Planning for Intercity Railways</title>
    <abstract language="eng">This paper provides a generic formulation for rolling stock planning problems in the context of intercity passenger traffic. The main contributions are a graph theoretical model and a Mixed-Integer-Programming formulation that integrate all main requirements of the considered Vehicle-Rotation-Planning problem (VRPP). We show that it is possible to solve this model for real-world instances provided by our industrial partner DB Fernverkehr AG using modern algorithms and computers.</abstract>
    <parentTitle language="eng">Proceedings of Conference on Advanced Systems for Public Transport 2012 (CASPT12)</parentTitle>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-14731</enrichment>
    <author>Ralf Borndörfer</author>
    <submitter>Gerwin Gamrath</submitter>
    <editor>J. C. Muñoz</editor>
    <author>Markus Reuther</author>
    <editor>S. Voß</editor>
    <author>Thomas Schlechte</author>
    <author>Steffen Weider</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="institutes" number="traffic">Mathematics of Transportation and Logistics</collection>
    <collection role="persons" number="borndoerfer">Borndörfer, Ralf</collection>
    <collection role="persons" number="schlechte">Schlechte, Thomas</collection>
    <collection role="persons" number="weider">Weider, Steffen</collection>
    <collection role="projects" number="MATHEON-B22">MATHEON-B22</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="ROTOR">ROTOR</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="reuther">Reuther, Markus</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>4801</id>
    <completedYear>2013</completedYear>
    <publishedYear>2013</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>3</pageFirst>
    <pageLast>23</pageLast>
    <pageNumber>21</pageNumber>
    <edition/>
    <issue>1</issue>
    <volume>5</volume>
    <type>article</type>
    <publisherName>Springer Berlin Heidelberg</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Rapid Branching</title>
    <abstract language="eng">We propose rapid branching (RB) as a general branch-and-bound heuristic for solving large scale optimization problems in traffic and transport. The key idea is to combine a special branching rule and a greedy node selection strategy in order to produce solutions of controlled quality rapidly and efficiently. We report on three successful applications of the method for integrated vehicle and crew scheduling, railway track allocation, and railway vehicle rotation planning.</abstract>
    <parentTitle language="eng">Public Transport</parentTitle>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-14728</enrichment>
    <author>Ralf Borndörfer</author>
    <editor>J. C. Muñoz</editor>
    <author>Andreas Löbel</author>
    <editor>S. Voß</editor>
    <author>Markus Reuther</author>
    <author>Thomas Schlechte</author>
    <author>Steffen Weider</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="institutes" number="traffic">Mathematics of Transportation and Logistics</collection>
    <collection role="persons" number="borndoerfer">Borndörfer, Ralf</collection>
    <collection role="persons" number="loebel">Löbel, Andreas</collection>
    <collection role="persons" number="schlechte">Schlechte, Thomas</collection>
    <collection role="persons" number="weider">Weider, Steffen</collection>
    <collection role="projects" number="BMBF-IS">BMBF-IS</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="ROTOR">ROTOR</collection>
    <collection role="projects" number="Trassenbörse">Trassenbörse</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="reuther">Reuther, Markus</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>4771</id>
    <completedYear/>
    <publishedYear>2011</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>146</pageFirst>
    <pageLast>155</pageLast>
    <pageNumber/>
    <edition/>
    <issue>20</issue>
    <volume>OpenAccess Series in Informatics (OASIcs)</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">A Hypergraph Model for Railway Vehicle Rotation Planning</title>
    <abstract language="eng">We propose a model for the integrated optimization of vehicle rotations and vehicle compositions in long distance railway passenger transport. The main contribution of the paper is a hypergraph model that is able to handle the challenging technical requirements as well as very general stipulations with respect to the ``regularity'' of a schedule. The hypergraph model directly generalizes network flow models, replacing arcs with hyperarcs. Although NP-hard in general, the model is computationally well-behaved in practice. High quality solutions can be produced in reasonable time using high performance Integer Programming techniques, in particular, column generation and rapid branching. We show that, in this way, large-scale real world instances of our cooperation partner DB Fernverkehr can be solved.</abstract>
    <parentTitle language="eng">11th Workshop on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems</parentTitle>
    <identifier type="doi">10.4230/OASIcs.ATMOS.2011.146</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0030-drops-32746</enrichment>
    <author>Ralf Borndörfer</author>
    <submitter>Gerwin Gamrath</submitter>
    <author>Markus Reuther</author>
    <author>Thomas Schlechte</author>
    <author>Steffen Weider</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="institutes" number="traffic">Mathematics of Transportation and Logistics</collection>
    <collection role="persons" number="borndoerfer">Borndörfer, Ralf</collection>
    <collection role="persons" number="schlechte">Schlechte, Thomas</collection>
    <collection role="persons" number="weider">Weider, Steffen</collection>
    <collection role="projects" number="MATHEON-B22">MATHEON-B22</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="ROTOR">ROTOR</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="reuther">Reuther, Markus</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>5711</id>
    <completedYear/>
    <publishedYear>2016</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>863</pageFirst>
    <pageLast>877</pageLast>
    <pageNumber>15</pageNumber>
    <edition/>
    <issue>3</issue>
    <volume>50</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Integrated Optimization of Rolling Stock Rotations for Intercity Railways</title>
    <abstract language="eng">This paper proposes a highly integrated solution approach for rolling stock planning problems in the context of long distance passenger traffic between cities. The main contributions are a generic hypergraph-based mixed-integer programming model for the considered rolling stock rotation problem and an integrated algorithm for its solution. The newly developed algorithm is able to handle a large spectrum of industrial railway requirements, such as vehicle composition, maintenance constraints, infrastructure capacities, and regularity aspects. We show that our approach has the power to produce rolling stock rotations that can be implemented in practice. In this way, the rolling stock rotations at the largest German long distance operator Deutsche Bahn Fernverkehr AG could be optimized by an automated system utilizing advanced mathematical programming techniques.</abstract>
    <parentTitle language="eng">Transportation Science</parentTitle>
    <identifier type="doi">10.1287/trsc.2015.0633</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="FulltextUrl">http://pubsonline.informs.org/doi/abs/10.1287/trsc.2015.0633</enrichment>
    <enrichment key="PreprintUrn">urn:nbn:de:0297-zib-16424</enrichment>
    <author>Ralf Borndörfer</author>
    <submitter>Thomas Schlechte</submitter>
    <author>Markus Reuther</author>
    <author>Thomas Schlechte</author>
    <author>Kerstin Waas</author>
    <author>Steffen Weider</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="institutes" number="traffic">Mathematics of Transportation and Logistics</collection>
    <collection role="persons" number="borndoerfer">Borndörfer, Ralf</collection>
    <collection role="persons" number="schlechte">Schlechte, Thomas</collection>
    <collection role="persons" number="weider">Weider, Steffen</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="ROTOR">ROTOR</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="reuther">Reuther, Markus</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
  <doc>
    <id>1473</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>reportzib</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2012-02-22</completedDate>
    <publishedDate>2012-02-22</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Vehicle Rotation Planning for Intercity Railways</title>
    <abstract language="eng">This paper provides a generic formulation for rolling stock planning&#13;
problems in the context of intercity passenger traffic. The main contributions&#13;
are a graph theoretical model and a Mixed-Integer-Programming&#13;
formulation that integrate all main requirements of the considered&#13;
Vehicle-Rotation-Planning problem (VRPP). We show that it is&#13;
possible to solve this model for real-world instances provided by our&#13;
industrial partner DB Fernverkehr AG using modern algorithms and&#13;
computers.</abstract>
    <identifier type="issn">1438-0064</identifier>
    <identifier type="serial">12-11</identifier>
    <identifier type="urn">urn:nbn:de:0297-zib-14731</identifier>
    <enrichment key="SourceTitle">A rev. vers. appeared in: J. C. Muñoz and S. Voß (eds.), Proc. Conference on Advanced Systems for Public Transport 2012 (CASPT12), 2012</enrichment>
    <author>Ralf Borndörfer</author>
    <submitter>Regine Kossick</submitter>
    <author>Markus Reuther</author>
    <author>Thomas Schlechte</author>
    <author>Steffen Weider</author>
    <series>
      <title>ZIB-Report</title>
      <number>12-11</number>
    </series>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>rolling-stock-planning</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mixed-integer-programming</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>hypergraphs</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>column generation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>rapid branching</value>
    </subject>
    <collection role="msc" number="90B06">Transportation, logistics</collection>
    <collection role="msc" number="90C10">Integer programming</collection>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="borndoerfer">Borndörfer, Ralf</collection>
    <collection role="persons" number="schlechte">Schlechte, Thomas</collection>
    <collection role="persons" number="weider">Weider, Steffen</collection>
    <collection role="projects" number="MATHEON-B22">MATHEON-B22</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="ROTOR">ROTOR</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="reuther">Reuther, Markus</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
    <file>https://opus4.kobv.de/opus4-zib/files/1473/ZR-12-11.pdf</file>
  </doc>
  <doc>
    <id>8041</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>42</pageFirst>
    <pageLast>62</pageLast>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>51</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation>Institute for Operations Research and the Management Sciences (INFORMS)</contributingCorporation>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2021-02-10</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Deutsche Bahn Schedules Train Rotations Using Hypergraph Optimization</title>
    <abstract language="eng">Deutsche Bahn (DB) operates a large fleet of rolling stock (locomotives, wagons, and train sets) that must be combined into trains to perform rolling stock rotations. This train composition is a special characteristic of railway operations that distinguishes rolling stock rotation planning from the vehicle scheduling problems prevalent in other industries. DB models train compositions using hyperarcs. The resulting hypergraph models are ad-dressed using a novel coarse-to-fine method that implements a hierarchical column genera-tion over three levels of detail. This algorithm is the mathematical core of DB’s fleet em-ployment optimization (FEO) system for rolling stock rotation planning. FEO’s impact within DB’s planning departments has been revolutionary. DB has used it to support the company’s procurements of its newest high-speed passenger train fleet and its intermodal cargo locomotive fleet for cross-border operations. FEO is the key to successful tendering in regional transport and to construction site management in daily operations. DB’s plan-ning departments appreciate FEO’s high-quality results, ability to reoptimize (quickly), and ease of use. Both employees and customers benefit from the increased regularity of operations. DB attributes annual savings of 74 million euro, an annual reduction of 34,000 tons of CO2 emissions, and the elimination of 600 coupling operations in cross-border operations to the implementation of FEO.</abstract>
    <parentTitle language="eng">Informs Journal on Applied Analytics</parentTitle>
    <identifier type="doi">10.1287/inte.2020.1069</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="AcceptedDate">2020-11-05</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>Ralf Borndörfer</author>
    <submitter>Ralf Borndörfer</submitter>
    <author>Thomas Eßer</author>
    <author>Patrick Frankenberger</author>
    <author>Andreas Huck</author>
    <author>Christoph Jobmann</author>
    <author>Boris Krostitz</author>
    <author>Karsten Kuchenbecker</author>
    <author>Kai Moorhagen</author>
    <author>Philipp Nagl</author>
    <author>Michael Peterson</author>
    <author>Markus Reuther</author>
    <author>Thilo Schang</author>
    <author>Michael Schoch</author>
    <author>Hanno Schülldorf</author>
    <author>Peter Schütz</author>
    <author>Tobias Therolf</author>
    <author>Kerstin Waas</author>
    <author>Steffen Weider</author>
    <collection role="institutes" number="optimization">Mathematical Optimization</collection>
    <collection role="persons" number="borndoerfer">Borndörfer, Ralf</collection>
    <collection role="persons" number="weider">Weider, Steffen</collection>
    <collection role="projects" number="MATHEON-B22">MATHEON-B22</collection>
    <collection role="projects" number="MODAL-RailLab">MODAL-RailLab</collection>
    <collection role="projects" number="ROTOR">ROTOR</collection>
    <collection role="projects" number="MODAL-Gesamt">MODAL-Gesamt</collection>
    <collection role="persons" number="reuther">Reuther, Markus</collection>
    <collection role="institutes" number="neo">Network Optimization</collection>
    <collection role="projects" number="EBUS">EBUS</collection>
    <collection role="projects" number="MODAL-MobilityLab">MODAL-MobilityLab</collection>
    <collection role="institutes" number="aopt">Applied Optimization</collection>
  </doc>
</export-example>
