GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow

Traffic flow prediction is a key issue in intelligent transportation systems. The growing trend in data disclosure has created more potential sources for the input for predictive models, posing new challenges to the prediction of traffic flow in the era of big data. In this study, the prediction of...

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Detalles Bibliográficos
Autores principales: Cai, Benhe, Wang, Yanhui, Huang, Chong, Liu, Jiahao, Teng, Wenxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694770/
https://www.ncbi.nlm.nih.gov/pubmed/36433477
http://dx.doi.org/10.3390/s22228880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694770/
https://www.ncbi.nlm.nih.gov/pubmed/36433477
http://dx.doi.org/10.3390/s22228880

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