FASTNN: A Deep Learning Approach for Traffic Flow Prediction Considering Spatiotemporal Features

Traffic flow forecasting is a critical input to intelligent transportation systems. Accurate traffic flow forecasting can provide an effective reference for implementing traffic management strategies, developing travel route planning, and public transportation risk assessment. Recent deep learning a...

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Detalles Bibliográficos
Autores principales: Zhou, Qianqian, Chen, Nan, Lin, Siwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502485/
https://www.ncbi.nlm.nih.gov/pubmed/36146272
http://dx.doi.org/10.3390/s22186921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502485/
https://www.ncbi.nlm.nih.gov/pubmed/36146272
http://dx.doi.org/10.3390/s22186921

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