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Deep-Learning-Based Real-Time Road Traffic Prediction Using Long-Term Evolution Access Data
In this paper, we propose a method for deep-learning-based real-time road traffic predictions using long-term evolution (LTE) access data. The proposed system generates a road traffic speed learning model based on road speed data and historical LTE data collected from a plurality of base stations lo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929170/ https://www.ncbi.nlm.nih.gov/pubmed/31816962 http://dx.doi.org/10.3390/s19235327 |