Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

Predicting large-scale transportation network traffic has become an important and challenging topic in recent decades. Inspired by the domain knowledge of motion prediction, in which the future motion of an object can be predicted based on previous scenes, we propose a network grid representation me...

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Detalles Bibliográficos
Autores principales: Yu, Haiyang, Wu, Zhihai, Wang, Shuqin, Wang, Yunpeng, Ma, Xiaolei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539509/
https://www.ncbi.nlm.nih.gov/pubmed/28672867
http://dx.doi.org/10.3390/s17071501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539509/
https://www.ncbi.nlm.nih.gov/pubmed/28672867
http://dx.doi.org/10.3390/s17071501

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