A cascading Kalman filtering framework for real-time urban network flow estimation

Reference : A cascading Kalman filtering framework for real-time urban network flow estimation


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Multidisciplinary, general & others
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/45298

Title :	A cascading Kalman filtering framework for real-time urban network flow estimation
Language :	English
Author, co-author :	Rinaldi, Marco [University of Luxembourg > > >]
	Viti, Francesco [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
Publication date :	Dec-2020
Journal title :	2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Peer reviewed :	Yes
Audience :	International
Event name :	2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
Event date :	20-23 September 2020
Target :	Researchers
Permalink :	http://hdl.handle.net/10993/45298

File(s) associated to this reference

Fulltext file(s):

	File	Commentary	Version	Size	Access
Limited access	IEEE_ITSC_2020-2.pdf		Author preprint	260.84 kB	Request a copy

All documents in ORBi^lu are protected by a user license.