Deep Learning-Based Congestion Detection at Urban Intersections

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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Bibliographic Details
Main Authors: Xinghai Yang, Fengjiao Wang, Zhiquan Bai, Feifei Xun, Yulin Zhang, Xiuyang Zhao
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
congestion detection
image processing
optical flow
surveillance video
YOLOv3
Online Access:https://www.mdpi.com/1424-8220/21/6/2052

Internet

https://www.mdpi.com/1424-8220/21/6/2052

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