A deep learning-based approach to recognize passengers' transport mode and trip phases

Hosseini, SeyedHassan; Gentile, Guido; Bresciani Miristice, Lory Michelle; VITI, Francesco

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A deep learning-based approach to recognize passengers' transport mode and trip phases

Hosseini, SeyedHassan; Gentile, Guido; Bresciani Miristice, Lory Michelle et al.

2024 • Conference in Emerging Technologies in Transportation Systems (TRC-30)

Peer reviewed

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https://hdl.handle.net/10993/63839

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Keywords :

Transport mode detection; trip phase recognition; convolutional neural network; GPS data

Disciplines :

Engineering, computing & technology: Multidisciplinary, general & others

Author, co-author :

Hosseini, SeyedHassan; Sapienza - Sapienza Università di Roma

Gentile, Guido; Sapienza - Sapienza Università di Roma

Bresciani Miristice, Lory Michelle; Sapienza - Sapienza Università di Roma

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

External co-authors :

yes

Language :

English

Title :

A deep learning-based approach to recognize passengers' transport mode and trip phases

Publication date :

September 2024

Event name :

Conference in Emerging Technologies in Transportation Systems (TRC-30)

Event organizer :

EPFL - Elsevier

Event place :

Heraklion - Crete, Greece

Event date :

1-3 September 2024

Audience :

International

Peer reviewed :

Peer reviewed

Focus Area :

Computational Sciences

Development Goals :

11. Sustainable cities and communities

Available on ORBilu :

since 29 January 2025

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