Modeling dwell time in a data-rich railway environment: With operations and passenger flows data

Autor: Rémi Coulaud, Christine Keribin, Gilles Stoltz

Publikováno v: Transportation research. Part C, Emerging technologies
Transportation research. Part C, Emerging technologies, 2023, 146, pp.103980

International audience; We model dwell times for trains subject to a possibly dense timetable based on a rich data set containing both railway operations variables and passenger flows variables, which is rare in the literature. Another distinguishing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f29cd5ec0e8f15a486b4a34a7ecfb0e5
https://doi.org/10.1016/j.trc.2022.103980