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S-GCN-GRU-NN: A novel hybrid model by combining a Spatiotemporal Graph Convolutional Network and a Gated Recurrent Units Neural Network for short-term traffic speed forecasting

Crossref DOI link: https://doi.org/10.1007/s42488-020-00037-9

Published Online: 2021-01-08

Published Print: 2021-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Jiang, Manrui

Chen, Wei

Li, Xiang https://orcid.org/0000-0002-2694-1250
Funding

Funding for this research was provided by:

Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (CIT&TCD20190338)

Humanity and Social Science Foundation of Ministry of Education (19YJAZH005)

Beijing Social Science Fund (18YJB007)
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Text and Data Mining valid from 2021-01-08

Version of Record valid from 2021-01-08
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Article History

Received: 12 April 2020

Accepted: 16 November 2020

First Online: 8 January 2021

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