Estimating Public Transport Demand Information Using Crowdsourced Data

Reference : Estimating Public Transport Demand Information Using Crowdsourced Data


	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/53470

Title :	Estimating Public Transport Demand Information Using Crowdsourced Data
Language :	English
Author, co-author :	Vitello, Piergiorgio [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Connors, Richard [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Viti, Francesco [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Publication date :	2022
Peer reviewed :	Yes
Audience :	International
Event name :	10th symposium of the European Association for Research in Transportation (hEART)
Event date :	from 01-06-2022 to 03-06-2022
Keywords :	[en] Public transport ; Crowdsensing ; Machine learning
Permalink :	http://hdl.handle.net/10993/53470
FnR project :	FnR ; FNR12252781 > Andreas Zilian > DRIVEN > Data-driven Computational Modelling And Applications > 01/09/2018 > 28/02/2025 > 2017

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