A Graph Neural Network Based Learning Model for Urban Metro Flow Prediction-Reference-Cited by-同舟云学术

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A Graph Neural Network Based Learning Model for Urban Metro Flow Prediction

Published:2023-12-15 Issue: Volume:121 Page:1883-1888
ISSN:
Container-title:2023 International Conference on Machine Learning and Applications (ICMLA)
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Author:

Drosouli Ifigenia¹,Voulodimos Athanasios²,Mastorocostas Paris¹,Miaoulis Georgios¹,Ghazanfarpour Djamchid³

Affiliation:

1. Engineering University of West Attica,Department of Informatics & Computer,Athens,Greece

2. School of Electrical & Computer Engineering, National Technical Univ. of Athens,Athens,Greece

3. University of Limoges,Department of Informatics,Limoges,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10459339/10459727/10459825.pdf?arnumber=10459825

Reference28 articles.

1. Internet of Vehicles and applications;WU,2016

2. Short-term prediction of traffic volume in urban arterials;HAMED;Journal of Transportation Engineering,1995

3. Multivariate vehicular traffic flow prediction: evaluation of ARIMAX modeling;WILLIAMS,2001

4. Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: Theoretical basis and empirical results;WILLIAMS;Journal of transportation engineering,2003

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