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Poster (Scientific congresses, symposiums and conference proceedings)
Automated Passengers Trip Phase Recognition and Public Transit Accessibility Level Analysis via Machine Learning Models Using GPS Data
Hosseini, SeyedHassan; Pourkhosro, Siavash; Bresciani Miristice, Lory Michelle et al.
2024 • 103nd TRB Annual Meeting
Peer reviewed
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https://hdl.handle.net/10993/63830
 

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Keywords :
Trip Phase Recognition; Transport Mode Detection; Machine Learning
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Hosseini, SeyedHassan;  Sapienza - Sapienza Università di Roma > Department of Civil, Constructional and Environmental Engineering
Pourkhosro, Siavash;  Università di Roma La Sapienza > Department of Civil, Constructional and Environmental Engineering
Bresciani Miristice, Lory Michelle;  Sapienza - Sapienza Università di Roma > Department of Civil, Constructional and Environmental Engineering
VITI, Francesco  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)
Gentile, Guido;  Sapienza - Sapienza Università di Roma > Department of Civil, Constructional and Environmental Engineering
External co-authors :
yes
Language :
English
Title :
Automated Passengers Trip Phase Recognition and Public Transit Accessibility Level Analysis via Machine Learning Models Using GPS Data
Publication date :
January 2024
Number of pages :
14
Event name :
103nd TRB Annual Meeting
Event organizer :
Transport Research Board
Event place :
Washington DC, United States
Event date :
7-11 January 2024
Audience :
International
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
Development Goals :
11. Sustainable cities and communities
Additional URL :
https://iris.uniroma1.it/handle/11573/1692860
Available on ORBilu :
since 29 January 2025

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