Identifying the Major Causes Associated to Rail Intermodal Operation Disruptions Using Causal Machine Learning

Reference : Identifying the Major Causes Associated to Rail Intermodal Operation Disruptions Usin...


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/53922

Title :	Identifying the Major Causes Associated to Rail Intermodal Operation Disruptions Using Causal Machine Learning
Language :	English
Author, co-author :	Pineda Jaramillo, Juan Diego [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)]
	McDonald, William [> >]
	Zheng, Wei [> >]
	Viti, Francesco [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)]
Publication date :	2022
Main document title :	Transportation Research Board 101st Annual Meeting
Peer reviewed :	Yes
Event name :	TRB 2022
Event date :	January 2022
Permalink :	http://hdl.handle.net/10993/53922

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	File	Commentary	Version	Size	Access
Open access	TRB Pineda-Jaramillo et al.pdf		Author preprint	742.32 kB	View/Open

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