@InProceedings{mullerhannemann_et_al:OASIcs.ATMOS.2021.3, author = {M\"{u}ller-Hannemann, Matthias and R\"{u}ckert, Ralf and Schiewe, Alexander and Sch\"{o}bel, Anita}, title = {{Towards Improved Robustness of Public Transport by a Machine-Learned Oracle}}, booktitle = {21st Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems (ATMOS 2021)}, pages = {3:1--3:20}, series = {Open Access Series in Informatics (OASIcs)}, ISBN = {978-3-95977-213-6}, ISSN = {2190-6807}, year = {2021}, volume = {96}, editor = {M\"{u}ller-Hannemann, Matthias and Perea, Federico}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ATMOS.2021.3}, URN = {urn:nbn:de:0030-drops-148721}, doi = {10.4230/OASIcs.ATMOS.2021.3}, annote = {Keywords: Public Transportation, Timetabling, Machine Learning, Robustness} }
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