Deep Learning-Based Congestion Detection at Urban Intersections

In this paper, a deep learning-based traffic state discrimination method is proposed to detect traffic congestion at urban intersections. The detection algorithm includes two parts, global speed detection and a traffic state discrimination algorithm. Firstly, the region of interest (ROI) is selected...

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Detalles Bibliográficos
Autores principales: Yang, Xinghai, Wang, Fengjiao, Bai, Zhiquan, Xun, Feifei, Zhang, Yulin, Zhao, Xiuyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001408/
https://www.ncbi.nlm.nih.gov/pubmed/33803952
http://dx.doi.org/10.3390/s21062052

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001408/
https://www.ncbi.nlm.nih.gov/pubmed/33803952
http://dx.doi.org/10.3390/s21062052

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