A Big Data Demand Estimation Model for Urban Congested Networks

Cantelmo, Guido; VITI, Francesco

doi:10.2478/ttj-2020-0019

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Article (Scientific journals)

A Big Data Demand Estimation Model for Urban Congested Networks

Cantelmo, Guido; VITI, Francesco

2020 • In Transport and Telecommunication

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/45227

DOI
10.2478/ttj-2020-0019

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Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Cantelmo, Guido

VITI, Francesco ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

External co-authors :

yes

Language :

English

Title :

A Big Data Demand Estimation Model for Urban Congested Networks

Publication date :

November 2020

Journal title :

Transport and Telecommunication

ISSN :

1407-6160

eISSN :

1407-6179

Publisher :

De Gruyter Open, Poland

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Computational Sciences

Available on ORBilu :

since 23 December 2020

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