Improving Road Traffic Forecasting Using Air Pollution and Atmospheric Data: Experiments Based on LSTM Recurrent Neural Networks

Traffic flow forecasting is one of the most important use cases related to smart cities. In addition to assisting traffic management authorities, traffic forecasting can help drivers to choose the best path to their destinations. Accurate traffic forecasting is a basic requirement for traffic manage...

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Detalles Bibliográficos
Autores principales: Awan, Faraz Malik, Minerva, Roberto, Crespi, Noel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374312/
https://www.ncbi.nlm.nih.gov/pubmed/32635487
http://dx.doi.org/10.3390/s20133749

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7374312/
https://www.ncbi.nlm.nih.gov/pubmed/32635487
http://dx.doi.org/10.3390/s20133749

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