The issue of automatically detecting traffic congestion to promptly warn traffic participants in a timely manner not only helps traffic participants choose their routes, but also contributes to solving traffic congestion. This is a challenging issue that has attracted the attention of many researchers. In this study, we propose the application of some deep learning models to classify traffic density, which is one of the factors used to predict traffic congestion.
Traffic Congestion Detection from Camera Images Using Deep Learning Approach
Lect. Notes in Networks, Syst.
The International Conference on Intelligent Systems & Networks ; 2024 ; Hanoi, Vietnam March 21, 2024 - March 22, 2024
Proceedings of the International Conference on Intelligent Systems and Networks ; Chapter : 36 ; 301-307
2024-09-01
7 pages
Article/Chapter (Book)
Electronic Resource
English
image classification , convolutional neural network , traffic congestion detection , deep learning Artificial Intelligence , Computational Intelligence , Security Science and Technology , Engineering , Data Mining and Knowledge Discovery , Computer Science , Cyber-physical systems, IoT , Professional Computing
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