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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| 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 |