Article (Scientific journals)
TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data
VITELLO, Piergiorgio; FIANDRINO, Claudio; CONNORS, Richard et al.
2024In Data Science for Transportation, 6 (2)
Peer reviewed
 

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Keywords :
Public transport; Mobile Crowdsensing; Machine learning
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
VITELLO, Piergiorgio ;  University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Engineering > Team Francesco VITI
FIANDRINO, Claudio ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust > PCOG
CONNORS, Richard ;  University of Luxembourg > Faculty of Science, Technology and Medicine > Department of Engineering > Team Francesco VITI
VITI, Francesco  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
External co-authors :
no
Language :
English
Title :
TransitCrowd: Estimating Subway Stations Demand with Mobile Crowdsensing Data
Publication date :
13 April 2024
Journal title :
Data Science for Transportation
ISSN :
2948-135X
eISSN :
2948-1368
Publisher :
Springer Science and Business Media LLC
Volume :
6
Issue :
2
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Development Goals :
11. Sustainable cities and communities
FnR Project :
FNR12252781 - Data-driven Computational Modelling And Applications, 2017 (01/09/2018-28/02/2025) - Andreas Zilian
Name of the research project :
R-AGR-3440 - PRIDE17/12252781 DRIVEN_Common - ZILIAN Andreas
Funders :
Fonds National de la Recherche Luxembourg
Available on ORBilu :
since 29 December 2024

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