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Journals
Transport and Telecommunication Journal
Volume 21 (2020): Issue 4 (December 2020)
Open Access
A Deep Learning Approach for Predicting Bus Passenger Demand Based on Weather Conditions
Tânia Fontes
Tânia Fontes
,
Ricardo Correia
Ricardo Correia
,
Joel Ribeiro
Joel Ribeiro
and
José Luís Borges
José Luís Borges
| Nov 26, 2020
Transport and Telecommunication Journal
Volume 21 (2020): Issue 4 (December 2020)
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Published Online:
Nov 26, 2020
Page range:
255 - 264
DOI:
https://doi.org/10.2478/ttj-2020-0020
Keywords
Predition
,
Urban public transport
,
Bus passenger demand
,
Weather conditions
,
Artificial neural networks
© 2020 Tânia Fontes et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Tânia Fontes
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science,
Porto, Portugal
Ricardo Correia
INESC TEC and Faculty of Engineering, University of Porto
Porto, Portugal
Joel Ribeiro
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science,
Porto, Portugal
José Luís Borges
INESC TEC - Institute for Systems and Computer Engineering, Technology and Science,
Porto, Portugal