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Efficient Road Traffic Video Congestion Classification Based on the Multi-Head Self-Attention Vision Transformer Model Cover

Efficient Road Traffic Video Congestion Classification Based on the Multi-Head Self-Attention Vision Transformer Model

Transport and Telecommunication Journal
Volume 25 (2024): Issue 1 (February 2024)
By: Sofiane Abdelkrim Khalladi,  Asmâa Ouessai,  Nadir Kamel Benamara and  Mokhtar Keche  
Open Access
|Feb 2024

Authors

Sofiane Abdelkrim Khalladi

Sofianeabdelkrim.khalladi@univ-usto.dz

Signals and images laboratory, Faculty of Electrical Engineering, Department of Electronics, University of Sciences and Technology of Oran Mohamed Boudiaf USTO-MB, Algeria

Asmâa Ouessai

asmaa.ouessai@univ-saida.dz

Faculty of Technology, Department of Telecommunications, Dr. Tahar Moulay University, Saida, Algeria

Nadir Kamel Benamara

nadirkamel.benamara@univ-usto.dz

Signals and images laboratory, Faculty of Electrical Engineering, Department of Electronics, University of Sciences and Technology of Oran Mohamed Boudiaf USTO-MB, Algeria

Mokhtar Keche

mokhtar.keche@univ-usto.dz

Signals and images laboratory, Faculty of Electrical Engineering, Department of Electronics, University of Sciences and Technology of Oran Mohamed Boudiaf USTO-MB, Algeria
DOI: https://doi.org/10.2478/ttj-2024-0003 | Journal eISSN: 1407-6179 | Journal ISSN: 1407-6160
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Language: English
Page range: 20 - 30
Published on: Feb 16, 2024
Published by: Transport and Telecommunication Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Road traffic classification,
macroscopic approach,
vision transformers,
multi-head self-attention,
deep learning
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Sofiane Abdelkrim Khalladi, Asmâa Ouessai, Nadir Kamel Benamara, Mokhtar Keche, published by Transport and Telecommunication Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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