Deep Autoencoder Neural Networks for Short-Term Traffic Congestion Prediction of Transportation Networks

Traffic congestion prediction is critical for implementing intelligent transportation systems for improving the efficiency and capacity of transportation networks. However, despite its importance, traffic congestion prediction is severely less investigated compared to traffic flow prediction, which...

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Detalles Bibliográficos
Autores principales: Zhang, Sen, Yao, Yong, Hu, Jie, Zhao, Yong, Li, Shaobo, Hu, Jianjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567350/
https://www.ncbi.nlm.nih.gov/pubmed/31091802
http://dx.doi.org/10.3390/s19102229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567350/
https://www.ncbi.nlm.nih.gov/pubmed/31091802
http://dx.doi.org/10.3390/s19102229

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