Print Email Facebook Twitter Train motion model calibration Title Train motion model calibration: Research agenda and practical recommendations Author Cunillera, A. (TU Delft Transport and Planning) Bešinović, Nikola (TU Delft Transport and Planning) Lentink, Ramon (Nederlandse Spoorwegen) van Oort, N. (TU Delft Transport and Planning) Goverde, R.M.P. (TU Delft Transport and Planning) Date 2022 Abstract An accurate train motion model is a key component of a wide spectrum of railway applications, from timetabling algorithms to Automatic Train Operation systems. Therefore, model calibration has become crucial in the railway industry, although this topic has not received the attention and recognition in academia that its practical relevance deserves. Several data-driven techniques have been devised to calibrate train dynamics models, although an overview that describes the current state of the art in the field and highlights the following steps to be researched is still missing in the literature. Thus, this article has four main goals. First, giving a brief insight into the broad variety of techniques used for train motion model calibration, focusing on those techniques that use on-board measurements and are applicable in railway operation. Second, highlighting the main research steps to be tackled, considering the current main challenges in railway research. Third, outlining practical recommendations to practitioners who need to calibrate their algorithms and applications. And fourth, contributing to giving train motion model calibration its due recognition. To reference this document use: http://resolver.tudelft.nl/uuid:18978103-1c44-4b19-a78f-abd2f6b8072d DOI https://doi.org/10.1109/ITSC55140.2022.9922542 Publisher IEEE Embargo date 2023-07-01 ISBN 978-1-6654-6881-7 Source Proceedings of the 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) Event 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022-10-08 → 2022-10-12, Macau, China Bibliographical note Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type conference paper Rights © 2022 A. Cunillera, Nikola Bešinović, Ramon Lentink, N. van Oort, R.M.P. Goverde Files PDF Train_motion_model_calibr ... ations.pdf 382.09 KB Close viewer /islandora/object/uuid:18978103-1c44-4b19-a78f-abd2f6b8072d/datastream/OBJ/view