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Contribution to collective works (Parts of books)
A Big Data Demand Estimation Framework for Modelling of Urban Congested Networks
Cantelmo, Guido
;
Viti, Francesco
2019
•
In
CSUM 2018, AISC 879 proceedings
Peer reviewed
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https://hdl.handle.net/10993/37672
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Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Cantelmo, Guido
;
University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Viti, Francesco
;
University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
A Big Data Demand Estimation Framework for Modelling of Urban Congested Networks
Publication date :
January 2019
Main work title :
CSUM 2018, AISC 879 proceedings
Publisher :
Springer
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Available on ORBilu :
since 09 December 2018
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