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Enhancing Public Transport Accessibility for People with Motor Disabilities Through Deep Learning on Graphs Cover

Enhancing Public Transport Accessibility for People with Motor Disabilities Through Deep Learning on Graphs

Transport and Telecommunication Journal
Volume 26 (2025): Issue 1 (February 2025)
By: ,   and    
Open Access
|Feb 2025
Authors

Authors

Francesco Maria Turno

francesco.turno@dlr.de

Transport and Telecommunication Institute, Latvia
German Aerospace Center, Berlin, Germany

Irina Yatskiv Jackiva

jackiva.i@tsi.lv

Transport and Telecommunication Institute, Latvia

Evelīna Budiloviča

Transport and Telecommunication Institute, Latvia
DOI: https://doi.org/10.2478/ttj-2025-0008 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 82 - 89
Published on: Feb 19, 2025
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
MaaS,
wheelchair users,
inclusivity,
mobility data,
graph theory,
recurrent neural networks
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2025 Francesco Maria Turno, Irina Yatskiv Jackiva, Evelīna Budiloviča, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 26 (2025): Issue 1 (February 2025)
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