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Data-driven metro train crowding prediction based on real-time load data
KTH, School of Architecture and the Built Environment (ABE), Civil and Architectural Engineering, Transport planning.ORCID iD: 0000-0002-4106-3126
2019 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016Article in journal (Refereed) Epub ahead of print
Place, publisher, year, edition, pages
2019.
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Transport Systems and Logistics
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URN: urn:nbn:se:kth:diva-258005DOI: 10.1109/TITS.2019.2914729OAI: oai:DiVA.org:kth-258005DiVA, id: diva2:1349640
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TrenOp, Transport Research Environment with Novel Perspectives
Note

QC 20190917

Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-09-17Bibliographically approved

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Jenelius, Erik

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