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...

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Detalles Bibliográficos
Autores principales: Ji, Byoungsuk, Hong, Ellen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6929170/
https://www.ncbi.nlm.nih.gov/pubmed/31816962
http://dx.doi.org/10.3390/s19235327

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