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Enhancing public transport systems through scalable real-time forecasting solutions for the case study of Rennes

 
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cris.virtual.orcid0000-0002-0421-8651
cris.virtual.orcid0000-0001-9355-6566
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cris.virtualsource.department1cf77b59-f7f6-4d1d-af45-e08f88df7d20
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dc.contributor.authorRahimiasl, Mahdi
dc.contributor.authorVanderhoydonc, Ynte
dc.contributor.authorMercelis, Siegfried
dc.date.accessioned2025-03-06T20:46:40Z
dc.date.available2025-03-06T20:46:40Z
dc.date.issued2024
dc.description.wosFundingTextThis work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 955273 (TANGENT).
dc.identifier.doi10.1109/CoDIT62066.2024.10708335
dc.identifier.eisbn979-8-3503-7397-4
dc.identifier.isbn979-8-3503-7398-1
dc.identifier.issn2576-3555
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/45345
dc.publisherIEEE
dc.source.beginpage2504
dc.source.conference10th International Conference on Control, Decision and Information Technologies (CoDIT)
dc.source.conferencedate2024-07-01
dc.source.conferencelocationVallette
dc.source.endpage2509
dc.source.numberofpages6
dc.title

Enhancing public transport systems through scalable real-time forecasting solutions for the case study of Rennes

dc.typeProceedings paper
dspace.entity.typePublication
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