@inproceedings{KruetzmannSchiendorferBeratzetal.2020, author = {Kr{\"u}tzmann, Julia and Schiendorfer, Alexander and Beratz, Sergej and Moosburger-Will, Judith and Reif, Wolfgang and Horn, Siegfried}, title = {Learning Controllers for Adaptive Spreading of Carbon Fiber Tows}, booktitle = {Machine Learning, Optimization, and Data Science, 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II}, editor = {Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and Jansen, Giorgio and Sciacca, Vincenzo and Pardalos, Panos and Giuffrida, Giovanni and Umeton, Renato}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-64580-9}, doi = {https://doi.org/10.1007/978-3-030-64580-9_6}, pages = {65 -- 77}, year = {2020}, language = {en} } @inproceedings{RollwagenHornSchmidtneretal.2025, author = {Rollwagen, Alice and Horn, Alexander and Schmidtner, Stefanie and Riener, Andreas}, title = {Communicating Uncertainty in Arrival Time Predictions for Public Transport: A Comparison of Point and Interval Forecasts}, booktitle = {MuC“25: Proceedings of the 2025 Conference on Mensch und Computer}, publisher = {ACM}, address = {New York}, isbn = {979-8-4007-1582-2}, doi = {https://doi.org/10.1145/3743049.3748542}, pages = {515 -- 519}, year = {2025}, abstract = {In public transport, arrival times are typically communicated as point forecasts, aiming to present precise estimates. However, current prediction models are unable to provide such precise and reliable estimates due to unpredictable events. This results in arrival times on passenger information systems appearing inaccurate due to the lack of communicated uncertainty. We therefore investigated interval forecasts as an alternative in an online study, aiming to better communicate uncertainty in arrival times. Our findings indicate that interval forecasts improve the communication of uncertainty. Further, user satisfaction was driven primarily by waiting time, and this relationship was moderated by the forecast concept. Point forecasts were only well received when the bus arrived as predicted, otherwise users preferred the broader interval forecasts. Participants valued accuracy over precision when judging arrival times.}, language = {en} } @inproceedings{HornAdamSchmidtner2026, author = {Horn, Alexander and Adam, Philip-Roman and Schmidtner, Stefanie}, title = {A Benchmark Dataset for Bus Travel and Dwell Time Prediction}, booktitle = {2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)}, publisher = {IEEE}, address = {Piscataway}, isbn = {979-8-3315-2418-0}, doi = {https://doi.org/10.1109/ITSC60802.2025.11423733}, pages = {2047 -- 2054}, year = {2026}, language = {en} }