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Effect of Spatio-Temporal Granularity on Demand Prediction for Deep Learning Models Cover

Effect of Spatio-Temporal Granularity on Demand Prediction for Deep Learning Models

Transport and Telecommunication Journal
Volume 24 (2023): Issue 1 (February 2023)
By: Ken Koshy Varghese,  Sajjad Mahdaviabbasabad,  Guido Gentile and  Mohamed Eldafrawi  
Open Access
|Feb 2023

Authors

Ken Koshy Varghese

kenkoshy.varghese@uniroma1.it

Università di Roma La Sapienza, Roma, Italy

Sajjad Mahdaviabbasabad

mahdaviabbasabad.1852942@studenti.uniroma1.it

Università di Roma La Sapienza, Roma, Italy

Guido Gentile

guido.gentile@uniroma1.it

Università di Roma La Sapienza, Roma, Italy

Mohamed Eldafrawi

mohamed.eldafrawi@uniroma1.it

Università di Roma La Sapienza, Roma, Italy
DOI: https://doi.org/10.2478/ttj-2023-0003 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 22 - 32
Published on: Feb 28, 2023
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Taxi Demand,
Demand Forecasting,
Spatiotemporal Granularity,
Deep Learning,
Grid Clustering
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2023 Ken Koshy Varghese, Sajjad Mahdaviabbasabad, Guido Gentile, Mohamed Eldafrawi, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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