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Fastest, Average and Quantile Schedule., , , , and . SOFSEM, volume 8939 of Lecture Notes in Computer Science, page 201-216. Springer, (2015)Solving Railway Track Allocation Problems., and . OR, page 117-122. Springer, (2007)Does Laziness Pay Off? - A Lazy-Constraint Approach to Timetabling., , and . ATMOS, volume 106 of OASIcs, page 11:1-11:8. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Re-Optimization of Rolling Stock Rotations., , , , and . OR, page 49-55. Springer, (2013)Analysis of Micro-Macro Transformations of Railway Networks., and . OR, page 37-42. Springer, (2013)The Freight Train Routing Problem for Congested Railway Networks with Mixed Traffic., , , , , and . Transp. Sci., 50 (2): 408-423 (2016)Strong Relaxations for the Train Timetabling Problem Using Connected Configurations., and . ATMOS, volume 59 of OASIcs, page 11:1-11:16. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)A Coarse-To-Fine Approach to the Railway Rolling Stock Rotation Problem., , and . ATMOS, volume 42 of OASIcs, page 79-91. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2014)A Cut Separation Approach for the Rolling Stock Rotation Problem with Vehicle Maintenance., , , and . ATMOS, volume 75 of OASIcs, page 1:1-1:12. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)Structure-Based Decomposition for Pattern-Detection for Railway Timetables., , and . OR, page 715-721. Springer, (2017)