Short-Term Traffic State Prediction Based on the Spatiotemporal Features of Critical Road Sections

Recently, short-term traffic prediction under conditions with corrupted or missing data has become a popular topic. Since a road section has predictive power regarding the adjacent roads at a specific location, this paper proposes a novel hybrid convolutional long short-term memory neural network mo...

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Detalles Bibliográficos
Autores principales: Yang, Gang, Wang, Yunpeng, Yu, Haiyang, Ren, Yilong, Xie, Jindong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068706/
https://www.ncbi.nlm.nih.gov/pubmed/30011942
http://dx.doi.org/10.3390/s18072287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6068706/
https://www.ncbi.nlm.nih.gov/pubmed/30011942
http://dx.doi.org/10.3390/s18072287

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