Train motion model calibration: research agenda and practical recommendations

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review



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.


Original languageEnglish
Title of host publication2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
Place of PublicationMacau
PublisherIEEE Xplore
Number of pages6
ISBN (electronic)978-1-6654-6880-0
ISBN (print)978-1-6654-6881-7
Publication statusPublished - 2022

Publication series

SeriesInternational Conference on Intelligent Transportation (ITSC)


Title2022 25th IEEE International Conference on Intelligent Transportation Systems
SubtitleBlockchain-based ITS: The Human Use of Cyber-Physical-Social Transportation Systems
Abbreviated titleITSC 2022
Duration8 - 12 October 2022

External IDs

ORCID /0000-0003-4111-2255/work/142246306